Statistician Resume Samples

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JD
J Dach
Judy
Dach
967 Mohr Square
New York
NY
+1 (555) 654 4489
967 Mohr Square
New York
NY
Phone
p +1 (555) 654 4489
Experience Experience
Chicago, IL
Statistician
Chicago, IL
Weissnat, Eichmann and Frami
Chicago, IL
Statistician
  • Work with internal and external client teams
  • Influencing clinical development plans, regulatory and commercial strategies
  • Work with senior management to set analytics priorities
  • Writing and implementing computer programs to make statistical calculations necessary for selecting samples
  • Setup and provide findings on retail tests
  • Interpreting results and assisting center researchers in writing papers for publication
  • Mining data to develop and automate dashboards to track protocol efficacy and business performance using SQL and Microsoft reporting services
Chicago, IL
Senior Statistician
Chicago, IL
Wilkinson, Luettgen and Larson
Chicago, IL
Senior Statistician
  • Develop process improvements, share expertise with others and continually strive to improve overall contributions to the department
  • Plans, organizes and manages staff; plans and discusses individual work programmes with staff and evaluates their performance
  • Working knowledge of program evaluation, predictive modeling, data mining, steerage, pharmacy and care management
  • Manages data and data requests to improve the accuracy of our data and decisions made from data analysis
  • Track, analyze and interpret trends in data in order to provide relevant conclusions and recommendations to management
  • Provide statistical consultation and reports for all global development in compliance with current ICH / FDA guidelines and SOPs
  • Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support
present
Boston, MA
Principal Statistician
Boston, MA
Beatty-Hartmann
present
Boston, MA
Principal Statistician
present
  • Identifying, developing and implementing novel statistical methodologies in support of medicines development
  • Planning, coordination, prioritization and implementation of statistical aspects of (1) biomarker-guided clinical development, pharmacogenomics, pharmacokinetics, pharmacodynamics, ECG and dose finding, or (2) clinical development in Phase IIb, III and regulatory submission, or (3) Phase IV, market access strategy, product maintenance and optimization
  • Collaborates with experts within function to integrate statistics objectives into activities associated with development of new/improved products or technology
  • Complexity: Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues
  • Process: Participates in process improvement or standards development initiatives
  • Work with the clinical teams in designing clinical studies, writing the statistical analysis plans, conducting the statistical analyses, and providing statistical support for the clinical study reports, scientific presentations and manuscripts
  • Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
Webster University
Bachelor’s Degree in Statistics
Skills Skills
  • Ensure Data Quality and Reliability. Design and implement various Data Quality. Detect and report data anomalies, Recommend data quality solutions
  • Communication: Very good written and verbal communication ability in an educational style. Ability to express thoughts and concepts clearly
  • Detailed knowledge of currently acceptable statistical methodologies
  • Strong knowledge and proficiency in Microsoft Excel and Access
  • Demonstrated problem solving ability and attention to detail
  • Strong collaborative skills and ability to work with a cross-functional team
  • Be proficient with SAS; knowledge of other programming languages is a plus (R, Sequel)
  • Extensive knowledge of FDA and ICH regulations and industry standards applicable to the design, analysis of clinical trials and regulatory submissions
  • Excellent organizational skills, time management, and ability to coordinate workload and meet established deadlines
  • Strong presentation and communication skills and ability to engage non-technical audiences
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15 Statistician resume templates

1

Lead Statistician of Marketing Analytics Resume Examples & Samples

  • At the minimum must have a Bachelor's degree preferably within a quantitative discipline
  • Must have 5+ years of marketing analytics experience using SAS, R, and SQL
  • Proficiency pulling/manipulating/analyzing large datasets and generating strategic insights utilizing SQL is an absolute MUST
  • Experience performing advanced statistical analytics and building predictive models utilizing SAS and R is a MUST
  • Exposure to digital channel analytics (knowledge of A/B testing, personalization, optimization, etc.) is a PLUS
  • Knowledge of Tableau and Omniture is preferred
  • Must have passion for news, video, social networking, advertising, and digital entertainment industry
  • Strong communication skills Full Time/Individual contributor role Will help w/ Relocation H1 Visa OK Recruiter: Sunil Sud
2

Senior Modeling Analyst / Statistician Resume Examples & Samples

  • Master's or PhD in a quantitative field: Statistics, Applied Mathematics, Econometrics, Biostatistics, Operations Research, Computing and Information Theory, Industrial / Electrical Engineering, or Physics
  • Practical expertise in standard analytical methods: generalized linear models, non-linear methods, time series, conditional likelihood methods, adaptive modeling techniques, and decision theoretic / optimization methods. Experience in spatial statistics is also desired
  • Proficiency in data interpolation and heterogeneous data management
  • Expertise in building customized code in SAS, SQL, or S-Plus
  • SAS Base Certification (if not present, certification will be required within 90 days after hire), with expectation to obtain additional certification levels
  • Familiarity in enterprise data systems and databases such as Oracle and DB2
  • Projects are 'hands-on' where employee will own the entire engagement: consultation, model development, and results presentation
  • Strong oral and interpersonal skills
3

Statistician to Director of Analytics Resume Examples & Samples

  • Customer profiling, segmentation, and other customer classification analysis
  • Value scoring and predictive modeling
  • Marketing effectiveness analysis and optimization solutions
  • Design, manage, and deliver client analyses, such as customer profiling, segmentation studies, post-program measurement, and other ad-hoc projects
  • Project management responsibilities, including client communication, internal team management, keeping projects on track, and the packaging and presentation of deliverables
  • Collaborate with client and internal consulting teams to identify analytic approach and objectives
  • Develop analytic plans (including sampling plans and programming specs)
  • Evaluate the productivity and profitability of marketing campaigns and identify opportunities for improvement
  • Identify statistically significant changes in audience behavior
4

Statistician Resume Examples & Samples

  • Identify and recommend appropriate analytic solutions to meet client business needs
  • Build predictive models to help support our clients in the areas of customer marketing and/or demand generation initiatives, using a broad array of statistical techniques
  • Work with internal and external client teams
5

Data Scientist / Statistician Resume Examples & Samples

  • 2 or more years working in a professional analytics environment
  • Undergraduate degree in a quantitative discipline (e.g. Math, Economics, Finance, Statistics, or Industrial Psychology) Masters degree in statistics preferred
  • Skilled in data preparation and data quality management for analysis
  • Advanced experience in SPSS or equivalent statistical package. R preferred
  • Experience in social science research methodologies
  • Strong critical thinking & analysis skills
  • Advanced Microsoft Excel skills (ex. arrays, macros, vlookup)
  • Understanding of survey construction and sentiment analysis
  • Ability to tell a story through data and statistics
  • Willingness to partner with teams across the world to complete a project
  • Ability to work independently, anticipate needs, exercise judgment, and to dig into details to ensure quality work
6

AML Senior Optimization Statistician Resume Examples & Samples

  • Knowledge of the local/regional laws and regulations applicable to anti-money laundering is a plus
  • Self-motivated with the ability and maturity to make decisions in the absence of detailed instructions
  • Methodical analysis and problem-solving skills Initiative, creativity and attention to detail are essential
  • Able to coordinate and deal with various level and conflicting time demands
  • Master degree in statistics/mathematics/technical science
7

AML Optimization Statistician Resume Examples & Samples

  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data. Identify relationships and trends in data, as well as any factors that could affect the results of research. Question and validate assumptions and status quo. Escalate identified risks and sensitive areas in terms of methodology and processes
  • Coach and supervise juniors, give directions, ensure the quality of analysis and work done and raise the standard of juniors to the next level of excellence and maturity
  • Required experience with relational databases such as Oracle, SQL Server, and Data Marts/Data Warehouses
  • Minimum 2-3 years of relevant experience in large, complex environments Mantas, AML monitoring systems and Spotfire experience a plus
8

Statistician / Quantitative Analyst Resume Examples & Samples

  • MS or Ph.D. in statistics, econometrics, economics or related quantitative field
  • Experience or strong training in statistical methodology such as linear regression, logistic regression, time series analysis, diagnosis test, goodness of fitness, sensitivity analysis and stress test
  • Strong programming skills in SAS or other statistical packages such as R or MatLab
  • Team work and commitment, strong communication skills are desired
9

Statistician Resume Examples & Samples

  • Lead statistical analysis of Nordstrom Rewards/Customer Loyalty Initiatives and provide ongoing/timely analysis of testing projects in both online and offline environments
  • Be accountable for projects that are part of large key business initiatives like Nordstrom Rewards and Customer Loyalty/Engagement
  • Evaluate the impact of marketing programs and events, e.g., Nordstrom Rewards, Double Points Personalized offers, using advanced statistical methodologies and shape analyses into actionable business recommendations
  • Develop automated programs for producing reports of the impact of the above marketing programs and events
  • Produce Teradata tables using sql for consumption by Tableau
10

Manager Statistician\econometrician Resume Examples & Samples

  • Prepare and present reports to support these analyses and solutions
  • Build and review complex quantitative models
  • Manage own time to budgets and communicate progress against plan to assignment manager
  • Work with large, complex data sets, solve difficult, non-routine problems
  • Good knowledge of the application of econometrics techniques for the elasticity of demand estimation and pricing
  • Good knowledge of Macro-econometric techniques: time series analysis, ARDL models, VAR and SVAR
  • SAS, SPSS, R, Matlab, Python. Knowledge of SQL, .net is a plus
11

AML Optimization Statistician Resume Examples & Samples

  • Conduct data-driven analysis and create reports. Apply quantitative and qualitative data analysis methods; prepare statistical and non-statistical data exploration. Validate data, identify data quality issues (if any), and work with Technology to address them. Analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
  • Must have: Statistical/data analytical skills - including both calculation and interpretation of outcome
  • Ability to work under close supervision of a functional team manager, while preserving independence of thinking and responsibility for the results
  • Ability to discuss reasoning, critical assessment of facts and opinions; ability of giving comprehensive answers and arguments
  • Master's degree in statistics/mathematics/technical science and 2+ years of relevant experience
12

AML Optimization Statistician Resume Examples & Samples

  • Prepare informative, high quality, attractive presentations, reports and documents based on results of analyses and recommendations made by statisticians
  • Create templates for reports, assuring consistency of documentation layout and language across deliverables
  • Cooperate closely with peers across regions to maintain global consistency and drive development of new presentation styles, layouts and techniques
  • Prepare texts written in English including formal documentation and presentations with appropriate language and style
13

Data Intelligence Mis-statistician Resume Examples & Samples

  • Strong working experience in Statistics
  • Minimum of a bachelor’s degree or equivalent is required
  • Minimum 5 years of relevant experience
  • Attention to details is a must
  • Experienced with MIS and data interpretation
  • Compliance/AML knowledge would be a plus
  • Proficient in PC desktop software with emphasis on MS Office products
  • Have experience in SAS
14

Lead Statistician Resume Examples & Samples

  • Drives the research and recommended solutions to complex business issues makes recommendations on model inputs and end products. Serves as a subject matter expert on predictive models within own group and with business users consults with the business, as appropriate, on predictive modeling solutions
  • Develop, implement and manage holistic strategies for modeling (design, development, validation, calibration, documentation, approval, implementation, monitoring and reporting), in collaboration with Risk Modeling Leader
  • Conduct analytics to validate the performance of existing quantitative risk models, recommend changes, and lead development of predictive models
  • Establish and maintain strong relationships with key business stakeholders
  • Develop a solid working knowledge of how current systems and data sources are used in existing predictive modeling projects. Drive timely retrieval of risk analytics data from existing system to create algorithms that meet business needs
  • Collaborate with Underwriting, Actuarial, and Underwriting Services to define projects
  • Experience working with very large datasets
  • Background and experience in consumer or commercial risk models
  • Ability to communicate effectively and influence others Recruiter: Ilana Raz
15

Statistician Resume Examples & Samples

  • Work with the Business Analytics team to build quantitative models for Assurance Services. Scope includes data preparation, data profiling, building models, writing white papers, visualization and presenting to the business audience the practical implications of the results
  • Build predictive models using statistical and data mining methods in the areas of audit risk, staffing needs for engagements, monitoring, and other areas; principal investigator on other analytics projects
  • Translate the results of the quantitative models into practical business implications
  • Ability to think outside of the box and to learn new approaches to modeling business problems with a focus on the practical application of the results
  • Develop and propose new analytics ideas about our markets, services, competitors and regulatory environment. Your recommendations should advance thinking on critical issues, and ultimately impact firm strategy
  • Using sound partnering and negotiating skills, build relationships to promote analytics to key potential project sponsors. This should drive the use of analytics on engagements
  • Conduct high quality analytics work with the Business Analytics team. This will include developing leading practices for all phases of the analytics development cycle
  • Establish leading practices for key analytical processes, including model development, visualization, and implementation, to enhance the performance of the organization
  • Work with senior management to set analytics priorities
  • Communicate progress, barriers, risks and benefits to clients, to achieve project success
  • Network with other key leaders in Core Business Services (CBS) groups, where these leaders will team on analytics projects (e.g., Finance, Markets, People, Quality and Risk Management, Global)
  • Gain a broad understanding of business fundamentals, and of the organization, both globally and in the Americas
  • A doctorate degree in statistics; strong education and empirical research backgrounds, experience with data mining and machine learning methods preferred
  • Applicable experience working with data and building empirical models
  • Be proficient with SAS; knowledge of other programming languages is a plus (R, Sequel)
  • A proven record of independently conducting empirical research projects with heavy data emphasis
  • Ability to be a thought leader in applying modeling techniques to real business issues facing Ernst & Young
  • Ability to understand key capital market and economic issues, as well as other business trends that could impact the firm
  • Awareness of threats and opportunities facing the profession and the firm
  • Comfortable in a rapidly changing environment, with competing and shifting priorities
  • Competent at presenting analytical content to firm leaders; strong communicative skills
  • Strong project management skills and experience
  • Ability to partner with other departments or with Area leaders
16

Lead Statistician Resume Examples & Samples

  • 5+ years of relevant experience including proven competence in managing the delivery of multiple projects simultaneously through full statistical study life-cycle, including experience handling customer negotiations or equivalent combination of education, training and experience
  • Bachelor's Degree, or educational equivalence, in Clinical, Biological or Mathematical Sciences, or related field
  • Computer skills include: SAS (Windows and UNIX), Word, Excel, PowerPoint, SPSS, STATA, and Basics of S-Plus
  • Experience in Phase I,II, III Trails
  • Previous experience and proven competence in managing study delivery through full statistical life-cycle
  • Thorough knowledge of the statistical process
  • Knowledge of operating procedures and work instructions and the ability to apply them in practice
  • Knowledge of Good Clinical Practices and applicable regulatory guidelines
  • Knowledge of ICH - GCP guidelines and its principles
  • Detailed understanding of E-3, E-6 and E-9
  • Excellent communication, interpersonal, customer service, and teamwork skills
  • Excellent organizational and problem-solving skills
  • Comprehensive understanding of clinical drug development process
  • Ability to establish and maintain effective working relationships with coworkers, managers and customers
17

AML Analytics Statistician Resume Examples & Samples

  • Designs, conducts testing and retains evidence of testing results of the Bank’s BSA Compliance Program automated transaction monitoring application using statistical modeling and re-performance techniques, to confirm the application’s proper functioning including data feeds, data quality and monthly batch process replication
  • Evaluate proposed changes to enhance the ongoing effectiveness of the automated AML transaction monitoring application to ensure that it meets regulatory expectations and best-in-class IT, efficiency and effectiveness practices
  • Provide recommendations to management identifying enhancements to automated transaction monitoring detection scenarios
  • Coordinate required documentation to support decisions made relating to the development, testing and implementation of application changes
  • Ensure documentation and testing meets the Bank’s Testing Center of Excellence Community of Practice (COP), model governance and change management standards
  • Work with business partners to ensure data sources are accurate and efficient
  • Stay current with industry trends in AML analytic techniques
  • LI-JB1
  • Advanced degree (e.g., Master’s or PhD in statistical-based modeling) preferred. Statistics, mathmematics, quantitative analysis, economics or related field required
  • Experience with advanced statistical modeling tools such as SAS or similar testing methods
  • Experience performing various testing techniques and creating data sets to test monitoring applications
  • Some experience with and general working knowledge of systems and applications
  • Prior IT / Audit experience testing systems beneficial
  • 3+ years experience with statistical modeling/data mining (decision tree, logistic regression, cluster analysis, etc). A plus related to BSA/AML and fraud in the banking industry
  • 3+ years experience accessing and analyzing large volumes of data using SQL, SAS, SAS Enterprise Guide, and SAS EMiner,
  • Other Technical Skills Preferred: Advanced or working knowledge in programming (MS SQL and Access, ASP.NET, C#, Visual Basic, HTML, JavaScript), database design, and business applications (MS Office suite, MS Project, MS Visio) a plus
  • Bachelor’s degree in statistics, mathematics, quantitative analysis, economics or related field is required. Advanced degree preferred
18

Statistician Resume Examples & Samples

  • 5+ years of experience as a subject-matter expert using statistical methods to collect, analyze, interpret, and present quantitative information in an understandable manner and relate that data to strategy development by providing recommendations to dynamic problem sets related to the military decision making process
  • 5+ years of experience with conducting military operations research
  • 5+ years of experience with conducting military operational planning and exercise development on a joint or combined staff
  • Knowledge of U.S. current military operations, readiness, and deployment routines covering air, space, ground, special operations, and maritime domains
  • Experience as an actuary or with data analytics
  • Ability to improve and automate data development, ingestion, and validation
  • BS degree in Statistics, Mathematics, Engineering, Economics, Operations Research, Physics or Chemistry preferred; MS degree in Operations Research or a similar scientific, technical, engineering, or mathematical field a plus
19

Statistician Resume Examples & Samples

  • Experience with hands on SAS programming in a clinical trials environment (CRO/Pharma)
  • Must be able to QC datasets and tables and program tables and spec datasets
  • Master’s degree/Ph.D. in Statistics/Biostatistics or equivalent required; 2-4 years clinical data experience
  • High degree of accuracy and attention to detail along with proficiency in SAS and ability to program using SAS macro language required
  • Proficiency in statistical procedures including non-parametric analysis, linear and non-linear models, categorical data and survival analysis techniques is also required along with excellent project management and organizational skills
20

Statistician / Data Analyst Resume Examples & Samples

  • Undergraduate degree in, economics, public policy, statistics, political science, or other relevant field
  • Advanced skills in using common quantitative and/or qualitative data analysis software such as SPSS-X2, Stata, ATLAS-ti, and NVivo
  • Excellent analytical skills and fluency in English
21

Statistician Resume Examples & Samples

  • Develop risk, profitability, fraud and targeting models used to support rapid growth across multiple channels (in-store, mail, mobile and/or web)
  • Discover insights from a myriad of data sources to understand and influence consumer financial behavior. Develop new complex attributes to be used to build next generation of predictive models by combining machine learning and business acumen
  • Drive business strategy and company growth rates by leveraging advanced analytics. Recommend analytic solutions to increase marketable universe and identify profitable prospects
  • Design and build fraud analytics infrastructure for managing fraud for online/mobile channel
  • Support direct marketing program for consumers that lack a traditional bureau score
  • Communicate and partner with third party data vendors
22

Senior Statistician Resume Examples & Samples

  • Work with internal business owners and external partners to understand business requirements and strategy for Kelley Blue Book in international market (China)
  • Developing advanced statistical models utilizing typical and atypical methodologies based on data available from China
  • Developing and updating data models for statistical modeling purposes, tracking results against forecasts, and re-specifying when required
  • Tracks, analyzes and interprets trends in data in order to provide relevant conclusions and recommendations to management
  • Frequent overnight travel (up to 40%) by land and/or air
  • Performs other related duties as assigned
  • Must have at least four years of experience performing advanced quantitative analyses
  • Fluent in Chinese (Mandarin)
  • Ability to manipulate, analyze, and interpret terabytes of data. Ability to organize findings and translate into actionable insights using original or innovative techniques or style
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis
  • Master's degree (M. A.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics) and four to ten years related experience and/or training; or equivalent combination of education and experience
  • Utilize complex computer operations (intermediate programming in 3rd and 4th generation languages, relational databases, and operating systems) and advanced features of software packages (word-processing, spreadsheet, graphics, etc.)
  • Intermediate to advanced experience in Statistical Software (e.g. SAS, SPSS) and database applications
  • Working knowledge of SAS required
  • Must have relational database experience
  • Intermediate to advanced experience in Excel
  • Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write speeches and articles for publication that conforms to prescribed style and format. Ability to effectively present information to top management, public groups, and/or boards of directors
  • Ability to comprehend and apply principles of advanced calculus, modern algebra, and advanced statistical theory. Ability to work with concepts such as limits, rings, quadratic and differential equations, and proofs of theorems
  • Ability to define problems, collects data, establishes facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables
  • Ability to apply principles of logical or scientific thinking to a wide range of intellectual and practical problems. Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes, etc.,) in its most difficult phases. Ability to deal with a variety of abstract and concrete variables
  • Post Doctorate Degree (PhD) preferred
  • Prior experience modeling automotive data preferred
23

Statistician Resume Examples & Samples

  • PhD preferred) in Statistics, Mathematics, Operations Research or Economics/Econometrics
  • SAS proficiency
  • SQL programming
24

Marketing Statistician Resume Examples & Samples

  • 3 years+ experience (required) querying large scale relational database such as MS SQL Server, Teradata, Oracle, etc
  • 5 years+ experience (required) building models via SAS or SPSS on large relational databases including customer transactional, demographic, web analytics, and behavioral data attributes
  • Substantial experience in data mining, response modeling, cluster analysis, analytic segmentation, response analysis, web analytics, ROI analysis, etc
  • 3 years+ working for a direct retailer or similar business preferred
  • Experience designing and analyzing A/B test experiments to measure model performance, back-tests, model optimization, etc. in the pursuit of marketing campaign effectiveness
25

Statistician Resume Examples & Samples

  • MS + 2 to 5 years clinical trial experience
  • Clinical trial experience from Pharma/CRO, late phase experience is a plus
  • Antibiotics therapeutic area is preferred but not required
  • Submission experience is preferred but not required in depth statistical knowledge on study design, statistical analysis, adaptive trials and Bayesian approach
  • Advanced programming skill in SAS is a must
  • R is a plus
  • Comfortable with simulation studies
26

Statistician Resume Examples & Samples

  • Sample size and power determination
  • Will have statistical responsibility in the development of manuscripts
  • Assist the faculty members with interpretation of statistical findings
  • Assists in data management and statistical analysis for complex research projects including integration of the proposed laboratory results with existing laboratory and clinical data
  • Development of data sets containing all variables relevant to answering specific scientific questions for manuscript preparation
  • Performs other related duties as assigned or requested. The University of Southern California reserves the right to add or change duties at any time
27

Statistician Resume Examples & Samples

  • Credit risk assessment at loan origination
  • Behavioral risk assessment to inform collections strategies
  • Risk models to support wholesale lending
  • Fraud identification
  • Portfolio level forecasts of credit losses,
  • Residual value forecasts of lease vehicles,
  • Staffing models to forecast and optimize workload,
  • Models to evaluate and optimize marketing programs,
  • Demand models to support price and market share optimization
  • Counterparty risk assessment to support treasury functions
  • Portfolio stress testing
  • Developing metrics and reports to monitor model accuracy and evaluate performance
  • Preparing analysis to back-test and compare competing models and methodologies
  • Developing and executing models to support business questions
  • Maintaining and enhancing operational models through their lifecycle
  • Work with data sources on multiple platforms (PC, Mainframe, Unix/Linux, and Teradata)
  • Execute both descriptive and inferential analyses in a timely manner
  • Effectively communicate and present technical material to a broad audience
28

Statistician for Global Statistics Resume Examples & Samples

  • Master’s degree with 2+ years of experience in an analytics role; or Ph.D. in Statistics, Mathematics, Engineering or related discipline
  • Proficiency in one or more major statistical software packages (e.g., SAS, R, MINITAB, JMP)
  • Knowledge of FDA/EMEA and other global regulatory compliance guidelines for drug manufacturing, packaging and distribution
  • Knowledge of Quality Assurance principles including cGMP documentation practices, policies and procedures, and quality systems
29

Mys Ctsm Kl Anti Money Laundering Optimization Statistician Resume Examples & Samples

  • Apply qualitative and quantitative data analysis methods
  • Apply rigorous statistical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
  • Provide written explanations of approach and analysis in plain language that supports the conclusions and observations
  • Drive quality, reliability and usability of all work products
  • Evaluate and refine the statistical methods and procedures used to obtain data in order to ensure validity, applicability, efficiency and accuracy
  • Innovate and generate new ideas, concepts and models to improve methods of obtaining and evaluating quantitative and qualitative data
  • Identify relationships and trends in data, as well as any factors that could affect the results of research
  • Escalate identified risks and sensitive areas in terms of methodology and processes
  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Detection and Monitoring Operations
  • Minimum of 2-3 years of experience with statistical software packages such as SAS, SPSS, etc
  • High proficiency in MS Office, especially MS Excel
30

Senior Statistician Resume Examples & Samples

  • 3-5 years of hands-on statistical modeling experience
  • Minimum of a Bachelor’s degree in Statistics, Finance, Marketing, Business Administration, or related. Master’s degree in Statistics, Applied Mathematics or related or MBA preferred. The equivalent combination of education, training and work experience may be suitable
  • Expert at a variety of analytical techniques that must include some of the following: multivariate regression models, cluster analysis, predictive modeling, other advanced methods
  • Experience in direct marketing analytics preferred
  • Expert proficiency in SQL
  • Experience with an analytics tool a must (SAS, SPSS, R etc.) SAS preferred
  • Comprehensive understanding of marketing metrics, including digital and emerging media
  • Experience working with large datasets including multi-channel, multi-brand, multi-product environments. Retail and ecommerce experience preferred
  • Track record of success in providing analysis, strategic direction, and specific business recommendations to senior management on critical decisions
  • Strong analytical, project management, and communications skills
31

Analyst / Statistician for Sanctions Resume Examples & Samples

  • Participate in the Sanctions Optimization project to execute the analysis and validation of the text matching solutions as required by methodology. Validate data, identify data quality issues (if any) and address them. Apply rigorous statistical methods to organize, analyze, and interpret data and reports; ensure appropriate methodology is selected to draw conclusions and make recommendations answering specific business needs
  • Work with IT/Technology to identify the data sources / systems, build accesses and connectivity to import and extract data. Drive quality, reliability and timeliness of the imported data. Check for any data qualities issues (if any), address them with IT/Technology and/or Operations
  • Use visualization techniques to display data and the results of analysis in clear and straightforward presentations that can be understood by a non-technical audience
  • Cooperate and work with the team of Sanctions Optimization Analysts and AML Optimization Statisticians to analyze and interpret data reports, draw conclusions and make recommendations answering specific business needs
  • Document solutions and present results in a simple comprehensive way to non-technical audience, as well as write more formal documentation using statistical/technical vocabulary
  • Maintain an industry leading knowledge of the tools, systems and processes available for best in class AML Sanctions Screening and text matching applications
32

Compliance Statistician Resume Examples & Samples

  • Assist with the preparation for fair lending statistical analyses, including
  • Researching and understanding
  • 2+ years prior experience in banking or financial institution in an analytical role (4+ years preferred)
  • 2+ years of experience using SAS preferably in a banking or financial institution (4+ years preferred)
  • Strong SAS programing skills
  • Excellent skills creating reports and analyzing data with SAS
  • Experience with UNIX or Linux is highly desired
  • Creativity, curiosity, and the desire to innovate; the ability to self-start is highly desired
  • Ability to self-motivate and a desire to work independently in a relatively unstructured environment
  • Strong data collection, research and quantitative skills
  • Ability to summarize complex information into simple to understand information
  • Effective verbal and written communication skills
  • Knowledge of fair and responsible banking is desirable
  • Knowledge of the banking and financial services industries
  • Exceptional MS Excel, PowerPoint and Word skills; experience with other data analysis tools is a plus
33

Clinical Statistician Resume Examples & Samples

  • Master’s degree or higher in Statistics or Biostatistics
  • Proficiency in BASE SAS and SAS/STAT programming
  • Experience with Phase 1 and/or clinical pharmacology studies preferred
  • Experience with working under UNIX environment preferred
34

Statistician / Data Analyst Resume Examples & Samples

  • Create advanced statistical models and data designing analytical models and data driven assets
  • Calculate and compile monthly Key Performance Indicators
  • Manage and manipulate large and complex data sets
  • Develop scenarios, what-if and root cause analysis for demand and supply balance
  • Monitor inventory performance, highlight trends and analyze anomalies to identify root causation
  • Create advanced analytical models and make recommendations to streamline inventory control process and analyze data to feed management decisions on inventory control policies and procedures
  • Identify impact and opportunities to reuse data structures and data bases
  • Ability to work collaboratively with offshore development teams and provide guidance to ensure quality deliverables
  • Perform Ad-Hoc projects as required
  • Bachelor’s statistical/mathematical degree required; Advanced degree in business, quantitative analysis, statistics, or equivalent preferred
  • 2-5 years of related experience in a regulated industry, supply chain / international logistics
  • Familiar with financial analysis related to inventory management
  • Statistical programming R/SAS/SPSS/STATISTICA; knowledge of RDBMS languages such as SQL
  • Experience in data extraction, manipulation and reporting capabilities
  • Proficiency in Microsoft Excel and Microsoft Access required; SAP experience preferred
  • Must be able to communicate at all levels within the organization both orally and written and work within a team
35

Statistician Manager Resume Examples & Samples

  • Provides technical expertise in designing and implementing tuning and data analytics for BSA/AML and Sanctions data of the Group
  • Develops and implements reports and assists in delivery regarding data analytics results
  • Uses predictive modeling, statistics, trend analysis, and other data analysis techniques to apply to BSA/AML and Sanctions data
  • Establishes tools/models to analyze and predict patterns and/or relations in business data
  • Collaborates with corporate Model Development and Model Governance professionals to create leading edge BSA/AML models for the Bank’s multiple BSA/AML and Sanctions systems
  • Actively participates in projects and performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns
  • Designs experiments and methodologies to generate and collect data for BSA/AML and Sanctions use
  • Creates and manages ongoing assessments, tuning, decommissioning, and change management of AML/CTF detection scenarios
  • LI-JB1
  • 10-15 years of functional/professional experience
  • 2 years of supervisory or managerial experience
  • BSA/AML and Sanctions-related technology including suspicious activity monitoring, alert and case workflow processing, Sanctions and Watchlist filtering, program governance, MIS and model validation
  • Thorough knowledge of the Bank Secrecy Act and Anti-Money Laundering Act
  • Demonstrated experience in implementing leading business practices
  • Experience as senior financial institution model validation regulation desirable
  • Analytical and research
  • Bank product and service knowledge
  • Coordinate meetings
  • Demonstrated supervisory skills
  • Planning and organizing
  • Presentation skills
  • Written and verbal communication
36

HR Predictive Modeler / Statistician Resume Examples & Samples

  • Master’s degree required in Statistics or relatable Mathematical discipline
  • 3-5+ years experience conducting applied statistical analyses; ideally in the fields of data mining and modeling in the context of Human Resources data and business metrics
  • Experience with linking various datasets/sources of data a must (i.e., internal talent/people metrics, business outcomes and external customer/client metrics) and modeling the relationships among various variables to understand the causal relationships critical)
  • Develops, maintains and refreshes models and analyses
  • Contributes to the design of research projects applying valid scientific techniques to data analysis
  • Extensive experience working with large and complex data sets and a variety of data types; demonstrates and understanding of data management and impact of data quality and integrity on analyses; provides guidance and advice on handling missing data and multivariate outliers and anomalies in datasets
  • Is able to argue pros and cons of various statistical approaches to answering research questions
  • Must demonstrate mastery in executing and interpreting Univariate, Multivariate, Bayesian statistics and other predictive algorithms
  • Expert proficiency in Excel, SPSS Advanced Statistics and Modeler or SAS
  • Excellent communication skills, written and verbal including the ability to summarize and translate technical output to business stakeholders
37

Global Methodologies & Re-engineering Statistician Director AML Optimization Team Resume Examples & Samples

  • Define and execute the strategic direction with respect to the statistical methodology and maintain global consistency across the six regions. Scope of responsibility covers the analyses performed by the global team focused on Optimization, Segmentation, Alert Risk Scoring, Case Risk Scoring, Tactical Tuning and all other data modeling/validation efforts depending on current needs and project plans
  • Have global responsibility for Optimization’s role in AML re-engineering initiatives. This will include thought leadership around volume optimization and re-engineering opportunities; taking a leading role in the appropriate forum(s)/committee(s) to determine project prioritizations and lead the Optimization Team analyses and recommendations
  • Manage the day to day relationship with Internal Audit and the Internal Model Validation team and take a lead role in discussing Optimization’s methodology and deliverables during reviews and exams
  • 10+ years of management experience with data analysis, statistical tools and financial data modeling. Strong background in statistical techniques (especially discriminant analysis, regression, decision trees) and methodology (sampling approaches), financial modeling of capital markets, and/or regulatory/risk analyses is advantageous. Experience with relational databases (especially Oracle) and SAS software is highly desirable
  • Minimum 10 years of relevant experience in large, complex environments, including strong statistical/data analytical skills, including data quality validation, descriptive statistics and predictive modeling experience
  • Minimum 5 years of experience managing team of highly technical specialists with statistical software packages such as SAS, SPSS and SQL, other standard database query tools and related applications
  • Minimum 5 years of experience managing in a matrix environment and managing resource assignment to significantly reduce task-switching
  • Minimum 5 years of experience in successfully implementing projects in the financial services industry, preferably with Operations experience
  • Minimum 5 years of experience in working across technology, compliance and business lines and managing inter-dependencies between different stakeholders
  • Minimum of 5 years of experience with statistical software packages such as SAS, SPSS, etc
  • Retail banking, small business banking, commercial, institutional, private banking is preferred
  • Demonstrates a strong understanding and application of analytical techniques including statistical sampling or predictive modeling experience
  • Methodical analysis and problem-solving skills including the ability to translate complex statistical approaches and resultant data sets into actionable recommendations and decision making artifacts
  • Proven ability to build exceptional teams, work well with a variety of people and be flexible in taking on different roles/responsibilities as projects change
  • Demonstrated ability to effectively communicate (both written and verbally) through all levels of the organization including the ability to translate technological concepts into easily understood presentations and provide management and senior management with clear and accurate understanding of opportunities, options, risks and impacts in all aspects of decision making regarding AML systems
  • Ability to analyze and address end-to-end business processes to facilitate transformation projects that improve customer and shareholder value
  • Proven ability to drive results and manage to changing priorities including the capability to plan for the unpredictable, evaluate risks and articulate control plans
  • Mature and self-motivated with the ability to make decisions independently, in the absence of detailed instructions and to set priorities as needed
  • Ability to work non-standard business hours, including weekends and holidays as determined by the business needs
  • Master degree in statistics/mathematics/technical science, PhD highly preferred
38

Statistician Resume Examples & Samples

  • Apply leading-edge technologies and advanced analytical tools to analyze web/mobile/social media data together with internal customer and transaction data to improve performance and efficiency in business decision-making
  • Develop predictive/statistical models. The incumbent delivers best-in-class models that improve targeting for acquisition, cross-sell, up-sell and retention activities. This involves working with various lines of business, understand their problems and needs and developing data-driven solutions
  • Present and interpret models to business partners and recommend how to apply them for actual targeting and marketing
  • Conduct model tracking and validation to suggest appropriate course of action to maintain model performance
  • Provide decision support, data mining service, and consultation to help retail banking achieve business objectives
  • Prepare detailed model documentations for sign-off, implementation and promoting models into monthly production
  • Excellent quantitative analytical skills. Must be able to interpret and consolidate large amounts of information in actionable recommendations. Uses sound judgment in the creation of the work plan, analysis, validation, interpretation and presentation of findings
  • Advanced skills in SAS, R, Python, big data
  • Strong theoretical knowledge and practical understanding of statistical analysis and data mining techniques
  • Strong knowledge of numerical optimization techniques
  • Strong SAS, SQL programming skills (including SAS Macro Programming, and knowledge of MS-Office products (Word, Excel, Powerpoint and Access)
  • Experience on web/digital/mobile analytics, social media and sentiment analysis
  • Strong verbal and written communication skills, being able to effectively communicate statistical/optimization concepts and how they can be utilized to business partners
  • Strong knowledge financial services products and features, especially credit cards, day-to-day banking and other loan products
39

Econometrician / Statistician / Quants Resume Examples & Samples

  • Builds relationships with clients and EY teams that reflect credibly on the V&BM team
  • Deals confidently with partners and client staff and builds credibility for the firm
  • Responds quickly to client requests for information or guidance
  • Recognises opportunities to contribute to client issues when they arise and assists in providing solutions
  • Contributes pro-actively to building team spirit
  • Strong background in statistics, inference and sampling and wider econometrics techniques
  • Good knowledge of Micro-econometric techniques: panel data, and limited dependent variable models (Logit, Probit and Tobit models), as well as standard cross section techniques
  • Experience in data mining techniques applied to large dataset (e.g. machine learning techniques)
40

Recurring Remote Talent Statistician Resume Examples & Samples

  • Research and understand the storylines and statistics of each team
  • Confirm Starting lineups, officials and any other pregame information needs of the production crew
  • Help answer questions regarding live/recent plays
  • Identify trends and statistics that help tell the story of the game
  • Communicate stats and trends to announcers effectively without interrupting or intruding on their flow of the game
  • Concisely communicate stats and trends to Graphics Producers over headset
  • When they are available, work with teams’ SID/PR people to get information or questions answered
  • Superior knowledge of sports history, rules, procedures, statistics and terminology
  • Strong communication skills (in person and over headset)
  • Professional demeanor (representing ESPN in public, courtside or in broadcast booth)
  • 2 or more years working with statistics on a sports broadcast (As a Talent/Official Statistician or as a Graphics Producer)
  • High School Diploma or equivalent
41

Econometrician / Statistician / Quants Resume Examples & Samples

  • Provide quantitative analysis solutions to clients
  • Build and review complex econometric/statistics and, more in general, quantitative models
  • Manage own time to budgets and communicate progress against plan to senior management
  • Suitable applicants will have an MSc/MPhil/PhD in Economics/Statistics or a similar numerate discipline with a clear Econometrics focus
  • A minimum of 3 years working experience in applying statistical, econometrics and numerical techniques to solve business problems. Experience in consultancy is a plus
  • They will need to be an independent worker with good experience in using any of the following statistical packages: R, SPSS, SAS, E-Views or Gretl. Experience with either VBA, MATLAB and/or SQL is highly desirable
  • The consultant will be able to deliver to demanding deadlines, be a team worker and possess good communication skills, with the ability to communicate complex models and concepts to less technical personnel
  • Strong background in statistics/econometrics and application of these techniques in more than one of the following fields: quantitative economics, retail analytics, supply and demand estimation, policy evaluation and macroeconomic forecasting
  • Experience with large, complex data sets; having solved difficult, non-routine econometric modelling problems
  • Knowledge of wider micro-econometric techniques and their practical applications: panel data and limited dependent variable models (Logit, Probit and Tobit models), as well as standard cross section techniques
  • Good knowledge of macro-econometric techniques and their practical applications: ARIMAX, VAR, SVAR and VECM models. Familiarity with general equilibrium (either CGE or DSGE) models would be a plus
  • Knowledge of data mining techniques applied to large dataset
42

Statistician Resume Examples & Samples

  • Performs data analysis using statistical methods. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Assists in interpretation of results and prepares tables or graphs for inclusion in reports and research papers
  • Assists in preparation of technical reports and papers on the research project’s statistical methods and results. Assists Principal Investigators in writing scholarly empirical papers for publication and presentation
  • Evaluates, recommends and implements procedures for data management and quality control. Develops input methodology and data file structure. Oversees data entry and maintenance of data files, including backups and hard copies
  • Provides guidance to data entry staff, as assigned. Schedules, assigns, and prioritizes workloads. Sets appropriate deadlines. Monitors employee performance on day-to-day basis. Ensures timely completion of work
  • Installs, tests, modifies and maintains computer programs for statistical analysis as needed. Oversees maintenance of computer hardware
43

Statistician Resume Examples & Samples

  • Conducting statistical data analysis on research datasets in SAS, and other statistical software, such as Mplus or EQS, for structural equation modeling and growth mixture modeling
  • Participating in design, sampling, and development of research plans and measurement instruments
  • Interpreting results and assisting center researchers in writing papers for publication
  • Integrating and managing research data from multiple sources and across projects; and
  • Participating in annual reports, and presentations
44

Statistician Resume Examples & Samples

  • Ph.D. or soon to be Ph.D. in statistics, sociology, psychology, survey methodology, or related field
  • Strong interest in all aspects of statistical methods as applied to survey sampling
  • Knowledge of survey sampling methodology
  • Proven ability to analyze data using SAS, STATA, SPSS, and/or R
  • Team player with the ability to work in a fast-paced environment
45

Statistician Resume Examples & Samples

  • Work under the supervision of the Project Director as the lead of the data team
  • Designing data collection instruments and protocols, creating datasets, and managing, processing, and analyzing data from epidemiological surveys that assess behavioral risk in youth
  • Designing, creating and managing multiple databases containing various program data, including survey data, intervention data, participant data, and implementation progress data
  • Performing advanced statistical analyses on program, survey, and epidemiologic data to assist in program tracking, and to interpret and disseminate findings
  • Preparing detailed statistical reports and interpretation of findings regarding the analysis of survey data and the effect of interventions on adolescent sexual health outcomes
  • Designing and generating program implementation and data collection status reports on a weekly and as-needed basis
  • Leading and preparing for multiple weekly meetings/workgroups where data and analysis-related topics will be discussed and data team assignments will be tracked
  • Overseeing the data team’s work products, including database creation, management, analysis, and reporting
  • Responding to requests for program-related data and statistics
  • Oversee the preparation and maintenance of survey tools during data collection
  • Managing and assisting in survey and performance measure data collection
  • Performing literature reviews on adolescent sexual and reproductive health and environmental data to assist in data analysis and grant proposal preparation
  • Disseminating program data summaries and outcome analysis results in presentations within the community and in professional settings, such as scientific conferences and workshops
  • Participating in the preparation of grant proposals by analyzing geographic areas and school demographics, along with teenage birth and STD rates within Los Angeles County to identify patterns related to geographic areas of disproportionate risk
  • Provide updated reports to Project Director and technical support to the data team
  • Collaborate with staff on project assignments
  • Other duties as deemed necessary
46

Ultimate Hoops Statistician Resume Examples & Samples

  • Work closely with League Coordinator to ensure member satisfaction
  • Assure all players are checked in and present on official score sheets
  • Track all relevant statistics during games
  • Assist in game preparations/ clean up as needed
  • Experience tracking statistical data for basketball games
  • General knowledge of basketball rules
  • Ability to resolve conflicts in a professional, tactful manner
47

Senior Statistician Resume Examples & Samples

  • The Sr. Statistician is responsible for delivering statistical models, segmentation analysis, and customer insights that will inform major marketing spend and business decisions. Key areas of focus will include improving the planning, execution and optimization of CRM marketing strategies/campaigns – including offline and online programs
  • This position drives best in class applications for developing learning plans and test design, identifying KPIs, analytics plans, and optimization recommendations for campaigns maintaining analytical rigor
  • This role goes beyond pulling numbers and crunching data - the objective is to convert our raw data into meaningful and actionable business analysis and insights that will drive our marketing agenda and help us drive higher levels of consumer engagement as well as revenue
  • You will partner with our various marketing teams to structure problems, extract and analyze data and present findings and recommendations to our leadership teams. Major Responsibilities: Deliver a broad scope of analyses including predictive modeling, customer segmentation, lifetime value analysis, cross channel analysis, test design and analysis, and more. Create measurement strategies and test and learn agendas for the brand marketing teams
  • This is a hands-on role that requires the ability to build statistical models, manipulate data, apply statistical techniques and create reports
  • Support Marketing teams in the optimization of campaigns, through measurement and analysis of consumer response and engagement. Identify opportunities for more efficient acquisition, development and retention
  • Craft innovative data and analytics representations that allow insights to be easily understood and extracted from large amounts of data and analytical output
  • Support the development of CRM programs and brand strategies, marrying data and insights with our brand goals and objectives
  • Collaborate with business teams to maximize efficiency and effectiveness of our existing $250MM+ global marketing budget across owned and licensed brands by working across our matrixed P&Ls
  • Experience in direct marketing analytics preferred Expert proficiency in SQL
48

Sampling Statistician Resume Examples & Samples

  • Support definition of sample population and specify the appropriate sample frame and sample size for complex surveys
  • Work with survey methodologists and other research team members on the design and implementation of the sampling and weighting plans for complex survey projects in addition to questionnaire development and analysis of survey data
  • Prepare sampling, stratification and weighting methodology content for proposals and project reports
  • Support development of technical reports and proposals
  • Present research papers at professional conferences and submit articles for publication in journals
  • Minimum of 3 years of applied sampling and weighting design experience required, experience with multiple-modes, including telephone is a plus
  • Familiarity with a wide range of advanced statistical techniques
  • Proven ability to analyze data using SAS or R
  • Excellent verbal, interpersonal and written communication skills
  • Strong analytical, problem-solving and decision making capabilities
  • Demonstrated outstanding level of professionalism in providing administrative support, including ability to exercise good judgment, discretion, tact, and diplomacy
  • Excellent problem solving skills with ability to analyze situations, identify existing or potential problems and recommend solutions
49

Statistician Resume Examples & Samples

  • Support development of sample designs and stratification for household, and facility surveys and other types of research
  • Calculate weights and sampling errors for large and complex survey projects
  • Prepare descriptions of sampling procedures for project reports
  • Master's Degree in statistics, sociology, psychology, survey methodology, statistics or related field with focus on sampling with at least 5 years of professional experience
  • Demonstrated skills in designing samples for household and/or facility surveys, calculating weights for survey data, and calculating sampling errors
  • Knowledge of or applied experience in non-probability sampling a plus, but not required
50

Statistician Resume Examples & Samples

  • Determine statistical methods for analysis of spatial and quality data; perform analysis and drive metrics
  • Assist in developing sampling plans for quality evaluation
  • Develop simple scripts and tools to handle basic statistical or other analytical needs
  • Create summary results and reports with graphs, tables, and charts; provide interpretations to project leaders
  • Provide support to the statistical needs of various departments within the company
  • Train other teams within the organization on basic statistical thinking and methods
  • Bachelor’s degree in Statistics or related fields with minimum 5 years of experience in experimental design OR Master’s degree in Statistics or related fields with minimum 2 years of experience
  • Experience in R or other statistical tools such as Minitab, SAS, or Stata
  • Knowledge of GIS (Geographic Information Systems) and experience with using GIS tools for spatial data analysis strongly preferred
  • Programming and Database knowledge (VBA, C, C++, SQL, etc) will be a plus
  • Application of statistics in Quality area or Six Sigma green belt certification will be a plus
  • Actuarial experience is not required but nice-to-have
  • Ability to explain statistics in simple terms to non-statisticians
  • Ability to learn and expand in the role
51

Predictive Modeler / Statistician Insurance Resume Examples & Samples

  • Graduate degree in a quantitative discipline such as Statistics, Computer science, Mathematics, Economics, or Operations Research OR Associateship/Fellowship in the Casualty Actuarial Society
  • A minimum of 3 years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance context (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus.(8+ years with prior management experience required for AVP role)
  • Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models (CART, MART, CHAID), cluster analysis, principal components, and feature creation, validation coupled with programming experience with SAS (STAT, macros, EM), R and other statistical software (Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus
  • Ability to effectively manage own and associates’ time while multitasking between multiple projects in a dynamic business environment with a variety of internal stakeholders, partners and customers
  • Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills absolutely essential
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint)
52

Statistician Resume Examples & Samples

  • Develops statistical analysis and statistical programming to support data analysis for clients
  • Provides analytical design of projects and performs analytics as required (Bayesian)
  • Creates statistical programs relative to project specifications and industry standards
  • PhD in Statistics or Biostatistics required; genetics field strongly preferred
  • Proficiency in R programming is required; SAS a plus
53

Statistician Resume Examples & Samples

  • Apply statistical methods for analysis and determining integrity on large amounts of complex data related to pricing, including coding and predictive model development and validation
  • Assess and benchmark modeling methodologies, including identifying opportunities, establishing best practices and documenting research findings
  • Implementing models, as well as maintaining performance and integrity
54

Marketing Analytics Statistician Resume Examples & Samples

  • Answer complex business questions by applying appropriate statistical techniques on available data and/or designing experiments to gather data
  • Rapidly develop novel applications of classification, forecasting, simulation, optimization, and summarization techniques
  • Work with cross-functional teams to encourage statistical best practices
  • Create compelling visualizations and presentations
  • M.S. or Ph.D. in relevant technical field such as Statistics, Computer Science, Engineering, or Economics
  • Expert knowledge of a statistical analytical tool such as SAS, R, Matlab, STATA, or Python
  • Experience with relational databases and SQL
  • Experience working with large data sets
  • Familiarity with visualization tools such as Tableau or Spotfire a plus
55

Workforce Analytics Statistician Resume Examples & Samples

  • Collaborates with others to determine what data are needed to answer specific questions or problems or to present findings or information to management. Determines methods for finding or collecting data. May design surveys or experiments to collect data
  • Performs data analysis using modern statistical methods and theories to solve practical problems in business, human resources and other fields. Reviews results for anomalies, investigates to determine cause, and makes corrections if necessary. Identifies trends and relationships within the data as needed. Reports conclusions from analyses, as requested
  • Assists in preparation of technical reports on research projects or administrative statistical methods and results. Assists staff administrators in preparing statistical reports for presentation to management
  • Develops and implements statistical or quantitative models to support business operations, marketing, or business development, etc. efforts and other business applications
  • May provide guidance to data entry staff, as assigned
  • Keeps informed of developments in field. Reads journals and other relevant publications, attends professional association meetings and seminars as appropriate
  • Performs other related duties as assigned or requested. The University reserves the right to add or change duties at any time
56

Senior Statistician Resume Examples & Samples

  • Develop and oversee sample and weighting designs for household and establishment surveys and other types of research
  • Prepare sampling, stratification, and weighting methodology content for proposals and project reports
  • Provide technical assistance, mentoring and training in sampling frame construction, sample design, sample size calculations, stratification, sample selection and weighting to clients and staff
  • Serve as Task Lead for quantitative projects
  • Serve as lead author for technical reports and proposals
  • Present research papers at professional conferences and submit articles for publication in journal
  • PhD in survey sampling, statistics, survey methodology, or related field with a minimum of 10 years of experience or a Master's Degree and 12 years of experience. Federal statistical agency experience is a plus
  • Demonstrated skills in designing complex samples for household or facility surveys, calculating weights for survey data and sampling errors
  • Proven ability to conduct multivariate analyses using complex survey data
  • Excellent oral communication skills with all levels of clients including junior and project management staff
57

MYS Ctsm Kl-aml Optimization Statistician Resume Examples & Samples

  • Supervise and/or conduct data-driven analysis and reports
  • Validate data, identify data quality issues (if any) and [work with technology to] address them
  • Question and validate assumptions and status quo
  • Strong statistical/data analytical skills, including data quality validation, descriptive statistics and predictive modeling experience
  • Knowledge of any programming language (preferably SQL and/or 4GL)
  • Minimum 2-3 years of relevant experience in large, complex environments
  • Mantas, AML monitoring systems and Spotfire experience a plus
  • Previous experience with financial services companies is preferred (retail banking, small business banking, commercial, institutional, and private banking)
58

Statistician Model Development Team Resume Examples & Samples

  • Build predictive models for Alert Risk Scoring and Case Risk Scoring within the agreed schedule and following globally consistent methodology
  • Design and optimize fast detection algorithms/rules in the very large financial monitoring system based on extensive data mining and statistical analyses of the system
  • Implement algorithms according to the methodology. Maintain high quality code and documentation. Assure efficiency/stability and scalability of the solution
  • Conduct data-driven analysis and reports. Apply qualitative and quantitative data analysis methods; prepare statistical and non-statistical data exploration
  • 3-5 years of experience in data mining and SAS software
  • Experience in designing detection and monitoring systems
  • Strong programming and statistical/data analytical skills
  • Excellent verbal and written communications
  • Must have: Excellent data analysis skills and ability to master large complex databases used for optimization projects
  • Initiative, creativity and attention to detail are essential
  • Ability to work under close supervision of senior team member, while preserving independence of
  • Thinking and responsibility for the results
  • Conceptual and creative thinking (outside the box)
  • Demonstrated ability to communicate effectively, both orally and in writing, through all levels of the organization and through different business units
  • Self-motivated with high desire of self-development and learning
  • Ability to work non-standard business hours, including weekends and holidays as determined by the business needs. Some flexibility will be expected
59

Statistician Resume Examples & Samples

  • Engine Time on Wing Prediction: This study utilizes Survival Analysis, engine flight data, pollution data and physics based models from Pratt & Whitney Engineering
  • Shop Visit Price Prediction
  • Engine Workscope Prediction
  • Unplanned Engine Removal Prediction
60

AML Optimization Statistician Resume Examples & Samples

  • Apply statistical methods to organize, analyze, and interpret data related to AML monitoring scenarios and thresholds. Ensure appropriate methodology is selected to answer specific business questions on effectiveness of coverage. Provide supporting rationale to validate and defend all methods used
  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers. Provide written explanations of approach and analysis in plain language that supports the conclusions and observations. Speak at an executive level to the presentations that cover Optimization and Continuous Improvement Programs
  • Design statistically valid samples, design and conduct statistical experiments. Perform statistical inference and draw conclusions from sample data
  • Bring statistical expertize to the team, select best statistical methods, verify assumptions, design and implement customized methods for statistical testing and inference. Defend the methodology applied to the business problem, and develop sound rationale for the methods used and document decisions made
61

Senior Statistician Resume Examples & Samples

  • Develop and enhance advanced statistical models utilizing typical and atypical methodologies
  • Develop and update data models for statistical modeling purposes, tracking results against forecasts, and fine-tuning when required
  • Work with internal business owners and external partners to understand business requirements and strategy for Kelley Blue Book in the U.S. market; support those goals with modeling and analytics
  • Track, analyze and interpret trends in data in order to provide relevant conclusions and recommendations to management
  • Must have at least 5 years of experience performing advanced quantitative analyses in industry setting including 3 years of statistical modeling experience
  • Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), generalized linear models, simultaneous equations, ARIMA, neural networks, and multinomial discrete choice. Ability to apply mathematical operations to such tasks as cluster analytics, sampling theory and design of experiments, analysis of variance, correlation techniques, and factor analysis
  • Master's degree (M. A.) in Quantitative discipline (e.g. Math, Statistics, Economics, Bio-Statistics); PhD preferred
  • Experience working with relational databases
  • Working knowledge of SAS and SQL required
  • Ability to respond to common inquiries or complaints from customers or members of the business community. Ability to effectively present information to top management, public groups, and/or boards of directors
  • Experience managing statistical projects
62

Statistician Resume Examples & Samples

  • Work with closely with senior level Statisticians to understand business owner requirements and strategy for Cox Automotive Media Group in international market (currently China; other markets in the future)
  • Develop advanced statistical models utilizing typical and atypical methodologies based on data available internationally
  • Develop and update data models for statistical modeling purposes, tracking results against forecasts, and re-specifying when required
63

Statistician Resume Examples & Samples

  • Conduct all aspects of consumer behavior model development including problem formulation, stakeholder identification, model design, computer programming, data extraction, model estimation, model validation, model documentation, implementation, and monitoring
  • Understand the deeper issues and independently structure problems
  • Clearly communicate, and champion, options and tradeoffs with senior management
  • Understand the core tradeoffs and biases in selecting a model development sample, and execute on data preparation by extracting and building datasets from complex data warehouses. Design randomized experiments to gather data needed to build still better models
  • Write efficient computer code (mostly SAS). Use white space, comments, indentation, arrays, control blocks, and modularization
  • Have deep understanding of both classical and modern statistical methods and the ability to apply them in practice
  • Connect the use of the model with how it should be validated and monitored
  • Produce high quality written model documentation
  • Design models that can be implemented given corporate constraints, and influence the development of even better platforms to support future models
  • Manage work streams by breaking down complex projects into steps and communicating timelines to stakeholders
  • Deliver high performing, fully functioning models
  • Collaborate with multiple functional groups including risk strategy, model risk management, legal, compliance, and technology
  • Master's or PhD degree in statistics or related field
  • Expert level programming skills (SAS)
  • Deep expertise in modern statistical methods
  • Industry knowledge
  • Clear and concise oral and written communication
64

Statistician Resume Examples & Samples

  • Oncology experience is a PLUS
  • Good planning and project management skills
  • Detailed knowledge of currently acceptable statistical methodologies
  • Excellent SAS skills including report generation
  • Willingness to be hands-on
  • Excellent communication, writing and organizational skills is essential
  • Demonstrated ability to work in a team environment with clinicians, clinical monitors, data managers, programmers and medical writers
65

Statistician Resume Examples & Samples

  • Support data collection activities using modes such as web, phone and mail
  • Select telephone and addressed based samples
  • Prepare written technical documentation
  • Conduct post-stratification weighting
  • Analyze data from complex sample designs
  • Completed Masters degree program in StatisticsKnowledge of Microsoft Office products or other document editing software
  • Strong interest in survey research methodology and data collection approaches
  • Minimum GPA of 3.0
  • Strong Knowledge of SAS
  • Ability to manage time effectively
  • Ability to work under deadlines in a fast-paced environment
  • A passion for solving complex problems
  • Strong intellectual curiosity
  • Team-oriented
66

Statistician Model Development Team Resume Examples & Samples

  • Conduct data-driven analyses and reports; apply qualitative and quantitative data analysis methods; prepare statistical and non-statistical data exploration
  • Provide data pulls and reports directly from Oracle database. Write SQL queries in large database environment
  • Master degree in technical science/mathematics/statistics/quantitative methods
  • 3-5 years of experience in data mining methods and their application in business practice (PhD degree may be considered for the fulfilment of work experience requirements)
  • Initiative, creativity and attention to details
67

Statistician Consumer Insights Resume Examples & Samples

  • Design, development and evaluation of Statistical Analysis Plans and Consumer Research Studies
  • Address regulatory requirements using analytics and data driven methodologies
  • Detailed Exploratory Data Analysis for conference / manuscript submissions and executive presentations
  • Share key learnings from consumer research with actionable strategic interpretation and recommendations
68

Lead Statistician Resume Examples & Samples

  • Formulate statistical objectives, experimental designs and statistical analyses for research
  • Masters Degree in Statistics or BioStatistics and 5+ years in pharmaceutical industry or
  • Experience in statistical support of clinical
  • Excellent skills in written and verbal presentation of statistical results
69

Statistician Resume Examples & Samples

  • Expertise: Demonstrates data analytic expertise based on a foundation of statistical principles. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Ensures application of appropriate statistical methods and generation of accurate and reproducible results
  • Working independently or by providing specifications to statistical programming colleagues. Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content
  • Drug Development: Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Supports the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Collaboration: Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management. Contributes to area (e.g. discovery, translational, early development, late development) project meetings when required. Contributes positively to SDS team dynamics
  • External Engagement: Participates as a member of professional organizations, such as attending meetings sponsored by professional organizations
  • Process: Basic knowledge of data architecture and formats, such as Data Standards
  • Area Specific Core Competencies, Responsibilities and Accountabilities
  • These are additional to the above position core competencies, applicable to individuals according to their assigned area within Statistics & Decision Sciences
70

Principal Statistician Resume Examples & Samples

  • Ph.D. in Statistics or related field with minimum 3 years relevant experience, or Master’s in Statistics or related field with a minimum 5 years of relevant experience
  • Proficiency in SAS or R, as well as a working knowledge of other relevant computational tools is strongly required
  • Ability to work in a matrix organization and cross-functionally to identify and resolve issues is required
  • Experience with planning, running, and documenting simulations (including, but not limited to clinical trial simulations) is preferred
  • Strong written, oral and interpersonal communication skills
  • Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners is required.Biostatistics
71

Principal Statistician Clinical Biostatistics Late Development Resume Examples & Samples

  • Be involved in the design, set-up and analysis of the clinical trials in close collaboration with other clinical team members
  • Have the ability to understand and apply innovative designs and analysis methods and supporting their evaluation via analytical studies and other appropriate methods
  • Knowledge in regulatory submissions is required
  • Ph.D. in Statistics or related field with minimum 4+ years of relevant experience, or Master’s Degree in Statistics or related field with 6+ years of relevant experience is required
  • Experience with antiviral drug development, in the HIV disease area is preferred
  • Experience in developing clinical trial protocols is required
  • Experience producing clinical biostatistics top line reports is required
  • Ability to oversee work performed by internal supporting staff is required
  • Ability to provide guidance, oversight and review of work performed by External Service Providers is required
72

Principal Statistician Resume Examples & Samples

  • Work with the clinical teams in designing clinical studies, writing the statistical analysis plans, conducting the statistical analyses, and providing statistical support for the clinical study reports, scientific presentations and manuscripts
  • Participate and lead in process improvement, training, standards development and enhancing statistical technical expertise
  • Take the initiative to liaise with other statisticians within the organization, and build working relationships with cross-functional team members
  • A PhD in Statistics or related field with 3 years of experience in the pharmaceutical industry, or a Masters in Statistics with 5 years of experience, is required
  • Excellent analytical skills and knowledge of statistical methodology including experience with modeling and simulations are required
  • Proficiency with statistical software such as SAS or R is required
  • Excellent verbal and written communication skills, including presentation skills, are required
73

Principal Statistician Resume Examples & Samples

  • Expertise: Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability
  • Quality and Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity
  • Drug Development: Demonstrates thorough knowledge of pharmaceutical research and development strategies and execution. Takes a lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Is an evolving leader for providing input to team in terms of optimizing study or trial designs in line with study or indication level objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Disease Area Knowledge: Demonstrates knowledge for at least one disease area/target
  • Innovation: Suggests and performs the evaluation of alternative or innovative approaches to statistical methods or business processes
  • Representation: Represents Statistics & Decision Sciences for cross-functional and intra-departmental teams or working groups relating to scientific or process initiatives
  • External Engagement: Participates as a member of professional organizations, e.g. by attending meetings as chair or presenter
  • Mentor: Supervises contractors/special assignment personnel/interns/co-ops as required. Mentors junior colleagues in techniques, processes, and responsibilities
  • Process: Participates in process improvement or standards development initiatives
  • Complexity: Works on increasingly more complex programs after mastering standard ones. Proactively identifies complexity in terms Scientific, Statistical, Health Authority, Operational, and Partnership issues
  • Collaboration: Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs with focus on improving communication, efficiency, and productivity. Works cross-functionally to identify and resolve issues
  • Communication: Has very good written, oral, and interpersonal communication skills. Demonstrated ability to collaborate and consult with non-statisticians, translating complex statistical concepts to drug research & development partners. Bridges scientific and business needs – integrating quantitative sciences and strong disease or functional area knowledge and appropriate market/competitive intelligence
  • Programming: Demonstrates full proficiency in SAS or R, as well as a working knowledge of other relevant computational tools as required
  • Ph.D. in Statistics or related field with minimum 3 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
  • Demonstrated ability to work in interdisciplinary contexts outside statistics.Biostatistics
74

Senior Statistician Resume Examples & Samples

  • Expertise: Demonstrates advanced data analytic expertise based on a foundation of statistical principles and a track record of applied experience. Is effective in the use of relevant computational tools for study, experiment, or trial research objectives. Applies high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability. Ensures application of appropriate statistical methods and generation of accurate and reproducible results working independently or by providing specifications to statistical programming colleagues. Produces clear, concise, well-organized, and error-free computer programs and statistical reporting content
  • Quality and Compliance: Complies with organization and company standard operating procedures in timely fashion, such as training and project time accounting. Understands and aligns with relevant regulatory guidances. Contributes high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, project/compound statistical lead, and the Statistics Area Head. Ensures that documents, specifications, programs, and macros are consistent and comply with project and company standards. Follows best practices for Data Integrity
  • Drug Development: Acquires and demonstrates knowledge in pharmaceutical research and development strategies and execution. Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support. Is accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects. Provides critical input to the statistical lead or team in optimizing study or trial designs in line with study or trial objectives, and supports scenario simulations and sample size calculations based on relevant technical and disease/scientific/functional area knowledge
  • Collaboration: Establishes and maintains effective and efficient interfaces and relationships with internal and external customers, with support of Statistics & Decision Sciences (SDS) management. Routinely contributes to area (e.g. discovery, translational, early development, late development) project meetings. Contributes positively to SDS team dynamics with a clear understanding of the SDS vision
  • Process: Deep knowledge of data architecture, such as Data Standards. Recognizes the need and value of process standardization
  • Ph.D. in Statistics or related field with minimum 0-2 years relevant experience, or Master’s in Statistics or related field with commensurate years of relevant experience
  • Basic knowledge of SAS or R programming
  • Good written, oral, and interpersonal communication skills.Biostatistics
75

Principal Statistician Resume Examples & Samples

  • Demonstrate advanced data analytic expertise based on a foundation of statistical principles and a strong track record of applied experience leading to successful program support
  • Effectively use relevant computational tools for study, experiment, or trial research objectives
  • Apply high quality statistical methodology in assigned projects with demonstrated understanding of the disease/scientific/functional area and health authority acceptability
  • Comply with organization and company standard operating procedures in timely fashion, such as training and project time accounting
  • Contribute high quality and timely deliverables as assessed by stakeholders such as the project team, the clinical trial team, and the Statistics Area Head
  • Ensure that documents, specifications, programs, and macros are consistent and comply with project and company standards
  • Take the lead in providing SDS support to experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications
  • Performs the evaluation of alternative or innovative approaches to statistical methods or business processes in complex program
  • Accountable for execution of individual project responsibilities, including: meetings with necessary project team members, reporting activities, exploratory analyses/graphics, and additional analyses to support publications for individual clinical trials/studies/projects
  • Builds cross-functional partnerships with internal colleagues and with external partners (e.g. Contract Research Organizations (CROs), consultants) to achieve results for project specific needs
76

Statistician Resume Examples & Samples

  • Prepare datasets for analysis; conduct and present preliminary analyses; participate in discussions with senior statisticians and project officers as an integral member of the analytic team
  • Provide technical advice on sampling methodological issues such as sample size determination based on differences and power analysis; preparing sampling frame; stratification and selection of sample accordingly; developing weighting plan and documentation
  • Review existing statistical analysis methods and tools for applicability and compatibility with study protocols and study design; review analysis plans for robustness and ability to meet study objective
  • Assist with imputation of missing data using procedures suitable for missing data at random (MAR) or missing data not at random (MNAR)
  • Create databases and appropriate analysis documentation for dissemination to international study teams
  • Write technical data and analysis documentation
  • Provide technical assistance to countries regarding statistical analysis
  • Travel to countries to assist with capacity development of in-country staff
  • Work closely with mutli-disciplinary teams (epidemiologists, statisticians, data analysts, data managers, field staff) to ensure a complete review of the data
  • Provide deliverables in a timely manner
  • Communicate effectively with client regarding issues, needs and/or priority setting for projects
  • Communicate effectively with non-statistically trained scientists and program staff on mathematical and statistical topics
  • Master’s degree in statistics, biostatistics, public health, engineering or related field with 3 years of work experience or PhD in statistics, biostatistics, public health, engineering with 1 year of work experience
  • Experience as a SAS, Stata, and/or R programmer
  • Experience with statistical analyses, including sample size calculations, generalized regression model, survival analysis, survey methods, imputation
  • Experience working with and aggregating/merging multiple data streams for analysis
  • Ability to travel internationally to work with in-country field teams
  • Candidates must be able to obtain and maintain a government security clearance to be considered for this position
  • Knowledge of HIV/AIDS prevention and Global Health preferred
  • Strong organizational and interpersonal skills with the ability to work both independently and as a team member are a must
77

Senior Statistician Resume Examples & Samples

  • Partner with Demand Planning BU Leads to ensure that the statistical forecasting solution effectively address the needs for the BU and further provides business insights & learnings
  • Conduct causal factor analytics to determine the most optimal factors that should be incorporated into the forecasting solution
  • Provide advanced analytical and statistical insights using a variety of tools (SAS, Tableau, Hadoop, and Teradata)
  • Develop new Tableau and Excel based tools to enable Demand planning teams to explore and visualize data in a useful and insightful manner
  • Utilize Analytical capability and detailed data analysis to drive continuous improvement in forecast accuracy and other Supply chain functions
  • Bachelors or Masters (Masters preferred) in Mathematics, Statistics, Predictive Analytics, or other quantitative field
  • 5-7 Years' experience in a corporate environment; experience in CPG or retail planning environment preferred
  • Intermediate to advanced abilities in Tableau
  • Strong analytical capability
  • Programming ability in SAS, SQL, R, Python (SAS Preferred)
  • Ability to identify relationships within data and draw inferences from large data sets in business relevant manner
  • Ability to present quantitative data in an easy-to-understand manner that balances both analytics as well as business implications
  • Effective communications skills with ability to work across and present to multiple levels and different organizational functions
  • Proficient Computer skills: MS Office specifically MS Excel
  • Ability to support continuous improvement or capability development work streams including scope definition, analysis, recommendations, and implementation
  • Must be willing and able to travel 5-10% of the time
78

Statistician Resume Examples & Samples

  • A strong technical breadth and depth in Statistics is essential. You will likely have a first degree containing a significant amount of Statistics and a Masters Degree or PhD in Statistics or a closely related field. Knowledge of machine learning methods and tools, image analyses and/or data science is desirable. Key areas of knowledge are statistical modelling, multivariate analysis and design of experiments. You will be comfortable and competent in using a range of statistical software packages (e.g. SAS, JMP, R and Python are all used)
  • You will have an enquiring mind and be interested in science and how data and statistical analyses can be used pragmatically. Being able to connect and develop ideas and be innovative are desirable attributes. You will be expected to continue your professional development as a statistician and training is actively supported
  • You may have some experience in a consulting role or similar but extensive experience is not necessary. It is important to be able to communicate with managers, scientists, researchers and others whose statistical knowledge may be limited. Good written and oral communication skills are essential as is an ability to form collaborative relationships and build effective networks. Many projects have multi‑national scope so you will need to be able to work productively with colleagues located remotely. English is the common language across P&G. Fluency in German would be beneficial
  • Personal effectiveness and management of a broad workload is important to success, especially as you will have a lot of independence. You will likely have experience managing complexity in your daily work and be able to manage your time well
79

Statistician Resume Examples & Samples

  • Collaborate with researchers in the analysis, interpretation, and presentation of research studies. These may include designed experiments, observational studies, clinical trials, population-based epidemiologic studies, and laboratory investigations
  • Participate in study design and the creation of research proposals for external funding
  • Adapt and develop novel statistical methods to address emergent problems in support of research projects
  • Function as part of a statistical team that may include Ph.D. and M.S. statisticians
  • M.S. in Statistics or Biostatistics
  • Expertise using statistical analysis software (e.g., R)
  • Two or more years of statistical consulting experience or Ph.D. Collaborative experience with biological scientists
80

Forecast Statistician Resume Examples & Samples

  • Develop and refine statistical models, generating high quality consumption and shipment forecasts
  • Reconcile forecast discrepancies on an ongoing basis through collaborative reviews
  • Help manage the application of product lifecycle events to the statistical models
  • Regularly execute reports and analytic reviews to monitor and manage the forecasts and models
  • Provide regular status updates to the status of the statistical models and their forecast metrics
  • Support the future evolution of advanced models and application of advanced analytic methods
  • Help drive business understanding of statistical models, methodologies, and performance metrics
  • B.S. degree in Statistics, Econometrics, Applied Mathematics, Business, Logistics, or related field
  • 2 to 3 years of Forecasting experience, preferably within Food or CPG
  • Advanced degree in lieu of experience will be considered
  • Exceptional analytical, problem solving, and research skills
  • Exposure to demand planning, supply planning, or sales planning processes and information flows
  • Strong computer competency, including PowerPoint and other Microsoft Office applications
  • Exposure to SAS programming, SAS Enterprise Guide, or similar is a plus
  • Exposure to Data Mining and other Advanced Analytic functions, is a plus
  • Exposure to Syndicated and POS data sources (IRI, Nielsen, Retail Link, etc.) is a plus
  • An Advanced degree is a plus
81

Analytics Statistician Resume Examples & Samples

  • Support R&D data analytics systems including day-to-day operations and troubleshooting
  • Write code to process, analyse, and address database and system issues
  • Collaborate and consult with data scientists and subject-area experts on statistical, data mining, and visualization problems and algorithms, and on system design and implementation
  • BSc or MSc in data science, analytics, statistics, or closely related field
  • Education in applied statistical methods and software
  • Expertise in one or more programming languages such as C++, Python, Java; knowledge of JavaScript, relational databases and SQL is an added plus
82

Statistician Resume Examples & Samples

  • Prioritize and effectively manage several projects simultaneously
  • Meet project deliverables and timelines from a statistical perspective
  • Work collaboratively within a multidisciplinary team
  • Competency in English both in oral and in written
  • Succinctly write statistical analysis documents, (e.g., analysis plans)
  • Competency in explaining the results of the statistical analysis to the clinical study team and other clients in verbal and writing
  • Ensuring that the results have been appropriately interpreted in the report
83

Afit Technical Support / Statistician Resume Examples & Samples

  • Supporting development of case studies that include the methodical capturing of methodologies derived from the supported statistical T&E acquisition support, compiling these methodologies, disseminating these methodologies in the form of written products through the STAT T&E COE. Present case studies to the Director, STAT T&E COE or their designated representative no later than the last day of the quarter
  • Capturing recurring difficulties and their resolution actions derived from the supported statistical T&E acquisition support, compiling these lessons learned, disseminating these lessons learned in the form of written products through the STAT T&E COE
  • Capturing best practices derived from the supported statistical T&E acquisition support, compiling these practices, disseminating these practices in the form of written products through the STAT T&E COS. Presenting best practice reports to the Director, STAT T&E COE or their designated representative
  • Respond to questions from DAU’s “Ask A Professor” on scientific and statistical rigor in TEMP development and assist in the development of DAU training material
  • Author or co-author on submission to peer-reviewed archival journals
84

Statistician Modeler Resume Examples & Samples

  • Work with various stakeholders such as Business Consultants, Senior Statisticians, Product Management, and Clients on the formulation and application of new modeling solutions for a variety of industry problems
  • Manipulate large data sets, integrate diverse data sources, data types and data structures into solutions
  • Develop analytical approaches to meet business requirements; this involves translating requests into use cases, test cases, preparation of training data sets and iterative algorithm development
  • Research new and advanced predictive modeling techniques as appropriate for a specific solution
  • Present results and recommendations to internal and external customers
  • Work with cross-functional teams to develop ideas and execute business plans
  • Develop solution prototypes and help integrate them with the product
  • Work closely with software development teams to communicate requirements and ensure quality of end-to-end deliverables of developed analytical solutions
  • Contribute to the team knowledge by keeping up with the state-of-the-art in machine learning applied to our domain
  • Professional experience as a data scientist or statistical modeler in identity and fraud, credit risk, telecommunications, financial services, payment, ecommerce, B2B or B2C, marketing, insurance, or security analytics arena
  • Strong quantitative analytical experience, including hands-on and background in using statistics, regression modeling, neural networks, decision trees, random forest, support vector machine, kernel based methods, clustering and similar methods
  • Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline
  • Strong consultative acumen and ability to understand complex analytical solutions
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  • Ability to create new ideas for analytical solutions to address customer's business issues
  • Professional experience with SAS, R, SPSS, MATLAB, Weka and other statistical and machine learning packages
  • 2+ years’ experience with SAS or a similar statistical tool
  • PhD with experience and exposure to Advanced Analytics and Data Mining
  • Proficient in SAS programming including SAS Macro
  • Experience with R, SPSS, MATLAB, Weka and other packages preferred
  • Strong SQL skills in Big Data environment (Hive, Impala etc.) preferred
  • Familiarity with programming languages such as Perl, Python , Scala (or similar scripting language), Java, C/C++ preferred
  • Experience working with very large datasets, knowledge of distributed computing tools (Spark, MapReduce, Hive, Apache Mahout etc.) preferred
  • Experience with state of the art machine learning algorithms such as neural networks, support vector machines, ensemble models, kernel-based methods genetic algorithms etc. preferred
  • Extensive knowledge in fraud prevention methods and detection tools a plus
  • Strong knowledge of credit bureau data and business problems in financial services and/or telecommunications a plus
  • Knowledge of optimization and design of experiments techniques a plus
  • Experience working in UNIX environment preferred
  • Security Clearance a plus
  • SAS Certification a plus
85

Lead Marketing Statistician Resume Examples & Samples

  • Educates and trains Senior Marketing Statisticians and Marketing Statisticians about statistical techniques and modeling methodology
  • Assists in the development and enforcement of the analytic quality control processes
  • Acts as a consultant to internal clients, recommending further projects based on analytic projects
  • Validates the results of statistical models built to predict customer behavior and segment/profile customers
  • Participates in qualitative research program as assigned
  • Maintains regular and predictable attendance
  • 6-8 years experience in marketing analysis related to direct marketing, financial services or other service sector
  • Experience with statistical and data reporting tools (SAS required)
  • Experience with multivariate data analysis methods is required, prefer experience with large, (multi-million) customer base
  • Experience in statistical analysis to include segmentation techniques, direct/target marketing and analysis of large populations is highly preferred
86

Marketing Statistician Resume Examples & Samples

  • Builds statistical models to find incremental circulation for all marketing campaigns
  • Analyzes trends and patterns in customer behavior related to purchasing habits (RFM, product categories, channel usage, etc.)
  • Summarizes analysis findings in concise, well-reasoned, and actionable reports
  • Ensures all required files are delivered to marketing database team per schedule to ensure timely execution of marketing calendar
  • Abides by all policies and procedures of Oriental Trading Company
87

Applied Statistician Resume Examples & Samples

  • Work with internal teams and clients to identify high-priority research questions
  • Design, lead, and manage research projects
  • Apply expertise in statistics and data analysis to explore the impact of various business practices on operational and financial outcomes
  • See beyond the numbers to identify findings of strategic importance to Medallia and practical value to clients
  • Communicate analyses and results in ways that are accessible, relevant, and meaningful to a business audience. This might include PPT presentations, written reports targeted at a C-suite audience, non-technical white papers and short briefs
  • Strong experience performing research and advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, finance, education)
  • Advanced working knowledge of regression techniques applied to various data types (e.g., continuous, binary, ordinal, nominal) and in various contexts such panel, clustered, time-series, and censored data. Familiarity/experience with factor analysis, latent variable modeling (SEM, LCA, PCA) a strong plus
  • Ability to explain value of qualitative, statistical and other research results to non-technical audiences, including executives and managers. Willingness to go beyond statistical significance to communicate impact, using examples, visual representations etc. Previous experience with stats consulting would be useful
  • Both big picture perspective and attention to detail
  • Deep curiosity and love of problem solving
  • Master’s degree or PhD in a field that uses quantitative methods to understand human behavior: Organizational Behavior, Management Science, Economics, Sociology, Psychology, Psychometrics, Engineering, Statistics and similar degrees welcome
  • Demonstrated knowledge of statistical software such as R, Stata, SAS, SPSS, Mplus, Latent GOLD). Experience with visualization software also a plus (e.g., Tableau.)
  • Comfortable manipulating large data sets
  • Interest in developing expertise in broad range of topic areas such as: customer experience, loyalty and purchasing behavior, employee engagement, organizational change and learning, marketing, financial impact
88

Senior Statistician Resume Examples & Samples

  • Collaborate with members of the SBG team to design and structure the data analytic plan for projects within the AMP-RA/SLE network
  • Respond to requests from outside collaborators by performing power calculations, producing results as reports, presentations, graphics, web sites, etc
  • Use and help develop our computational pipeline for multi-processed big-data analysis on Linux
  • Collaborate with members of the SBG team and AMP investigators on study design, and project development
  • In collaboration with the Bioinformatician, take the lead on: providing statistical consultation; performing statistical analyses; performing complex data management tasks
  • Serve as key member of the AMP-RA/SLE research team. This involves attending team meetings, providing expertise and providing assistance with programming or doing the programming for the team's projects, in concert with the Bioinformatician
  • Provide assistance teaching and consultation to postdoctoral fellows, junior faculty and other trainees in appropriate statistical analyses for manuscripts, grant submissions, and presentations
  • Write portions of papers and grant proposals, particularly sections on analysis and sample size. Carefully edit entire document, especially sections on analytic techniques, sample size and power
  • Master’s level training required, Ph.D. preferred in statistics, and experience as a statistician and statistical programmer with a focus on biostatistical analyses
  • Experience with a statistical programming language, such as SAS, STATA and R programming
  • Advanced data management and analysis skills. Must be able to perform parametric and nonparametric bivariate analyses and a wide range of multivariate techniques, for example LASSO regression methods in a generalized mixed effects regression model framework, survival analysis, and hierarchical clustering techniques,
  • Teaching expertise as the postdoctoral fellows rely upon the statistician for scientific mentoring
  • Problem solving and organizational ability; written and interpersonal and communication skills; and initiative
  • Ability to work independently as well as collaboratively on research teams
  • Ability to manage multiple tasks under competing deadlines and shifting priorities
  • Ability to teach fellows and junior faculty in basic and more advanced statistical techniques
  • Advanced knowledge of biostatistics and statistical programming
89

Statistician / Per Diem / Day / Bwh Ob / gyn Resume Examples & Samples

  • Masters or doctorate in statistics, epidemiology, biostatistics, or public health (with biostatistical/epidemiological emphasis)
  • Excellent communication and project management skills are desired as the position involves managing multiple competing priorities
  • The ideal candidate should be willing and able to work independently to identify department research needs and to develop statistical programs and processes to meet them
  • The candidate will be expected to contribute to the standardization and automation of research project analyses while maintaining production deadlines
  • Familiarity with basic epidemiologic and statistical methodology is desirable
  • Oversee work study students and volunteers
  • Oversee project development and execution of work by residents, graduate students, and clinical fellows
90

Statisti