Data Statistician Resume Samples

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OB
O Botsford
Ozella
Botsford
3185 Little Ferry
Dallas
TX
+1 (555) 500 9753
3185 Little Ferry
Dallas
TX
Phone
p +1 (555) 500 9753
Experience Experience
San Francisco, CA
Data Science Statistician
San Francisco, CA
Altenwerth-Walker
San Francisco, CA
Data Science Statistician
  • Performs other duties as assigned by management
  • Takes responsibility for communicating and assisting in implementing decisions
  • Approaches problems holistically, defines connections, linkages, interdependencies and develops solutions
  • Recognizes the broad, systemic implications of problems and issues
  • Probes and looks past symptoms to determine the underlying causes of problems and issues
  • Disseminates findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
  • Pilots, tests, implements and maintains decisioning models
Boston, MA
Data Analyst / Statistician
Boston, MA
Kuhic-Johnston
Boston, MA
Data Analyst / Statistician
  • Design and optimize detection algorithms/rules in the very large financial monitoring system based on extensive data mining and statistical analyses
  • Proficiency in data visualization and scripting/programming languages (VBA, SAS 4GL,SQL/PL-SQL, R)
  • Build predictive models/solutions to assess the risk of money laundering activities
  • Build predictive models to assess the risk of money laundering activities
  • Reviews current data providers on an ongoing basis
  • Participates in special projects and performs other duties as assigned
  • Ensures that daily, weekly and monthly data updates occur. Generates regularly scheduled reports (daily, weekly and monthly) from a variety of databases in accordance with established deadlines
present
Chicago, IL
Statistician / Data Scientist
Chicago, IL
Hahn, Brakus and Zemlak
present
Chicago, IL
Statistician / Data Scientist
present
  • You will build and own forecasting models for revenue and key business drivers, guiding strategic planning for Twitter and its revenue products
  • Create models by applying robust predictive/prescriptive modeling methodologies
  • Passion for acquiring domain knowledge and curiosity regarding data
  • Stay up-to-date on current developments in time series prediction and forecasting methods
  • Recommend ways to improve the design, development and delivery of statistical analyses, including automated approaches
  • Communicate model results and insights to executive leadership and business partners
  • Generates and tests hypotheses and analyzes and interprets the results of product experiments
Education Education
Bachelor’s Degree in Statistics
Bachelor’s Degree in Statistics
University of Florida
Bachelor’s Degree in Statistics
Skills Skills
  • Ability to multi-task. Ability to work in geographically separated diverse teams
  • Proficient in the use of numerical modelling tools, such as Mathematica and MATLAB/Octave
  • Proficient in the use of data analysis platforms such as R, Python (e.g. pandas, statsmodels, sklearn) and RapidMiner
  • Proficient in enterprise grade programming languages such as Java and Python
  • Proficient in the use of big data platforms and paradigms, such as Apache Spark, Apache Storm and Hadoop/MapReduce
  • Proficient in the use of Microsoft Office programs, such as Word and Excel
  • Advanced math skills, with deep knowledge and understanding of numerical and statistical methods and machine learning algorithms and how they can be used to solve complex problems quickly and effectively
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15 Data Statistician resume templates

1

Data Manager / Statistician Resume Examples & Samples

  • Receiving and monitoring data for multiple projects, including: importing and exporting data into/from SAS in multiple formats; tracking timeliness of data submission using a data log; verifying data quality ; developing and running SAS programs to check for errors; generating error reports for sites to review; ensuring data corrections are madeproperly; writing SAS programs to make corrections as necessary; researching and resolving data entry discrepancies in conjunction with site staff; tracking enrollment, screening, reasons for ineligibility, retention of study participants;, concatenating and/or merging data with existing data sets; keeping version control of data including archival of old datasets and documentatio
  • Creating SAS databases and appropriate analysis documentation for dissemination to international study teams
  • Working closely with multi-disciplinary teams (PIs, survey methodologists) to ensure a complete review of the data, as well as providing a thorough understanding of data management processes for that study and issues that may arise in analysis from beginning to end of the study
  • Ability to provide guidance on proper and current data management techniques from study-start, including assisting with protocol development, writing data management SOPs and providing technical recommendations on study software
  • Ability to provide deliverables in a timely manner
  • Ability to effectively communicate with client regarding issues, needs and/or priority setting for projects
  • Bachelor’s degree in statistics, biostatistics or related field
  • At least 10 years relevant experience, which includes working as a SAS programmer
  • Experience working with multi-site cross sectional or longitudinal studies
  • Experience with basic statistical analysis (descriptive statistics, Chi-squares, t-tests, and regression models)
  • Experience working with multi-site studies preferred
  • Experience working with health surveys
  • Excellent oral and written communication skills, and ability to lead meetings and conference calls required
  • Ability to demonstrate good judgment in selecting methods and techniques for obtaining solutions is a must
2

Experiment Data Analyst / Statistician Resume Examples & Samples

  • Design of experiments including estimation of sizing of test and control groups to ensure statistical significance and data collection strategy
  • Statistical analysis of results of experiments (typically in logs provided in Google BigQuery)
  • Writing analysis reports including findings and the impact on the business
  • Communicating findings to cross-functional stakeholders
  • Facilitate broad cross-functional collaboration with clear communications and documentation
  • Bachelor degree in Computer Science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience
  • Advanced understanding of statistics, A/B Testing and experiment design
  • Programming experience working with large datasets
  • Experience communicating with non-technical teams
  • Ability to work and collaborate with interdisciplinary groups
  • 2+ years work experience as a business-facing data analyst
  • Experience writing SQL/BigQuery queries
  • Experience on a high-level programming language such as R or Python
3

Data Scientist / Statistician Principal Resume Examples & Samples

  • Must be a US Citizen** **Must currently hold a TS/SCI with Poly**
  • Master's Degree in Computer Science, Mathematics, Applied Statistics or in "STEM" Majors (Science, Technology, Engineering and Math) from an accredited college or university
  • Programing, app development, back end system access, mathematics, data manipulation, or statistics
  • Minimum of 7 years of experience with massive data sets (Big Data), with experience building analytic products. Includes statistical analyses, data visualization, data mining, and data cleansing / transformation
  • Strong oral and written communication skills, particularly with multidisciplinary staff from different organizations/functions
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to customer’s problems
  • Experience with processing large amounts of data in a cloud environment
  • Extensive domain knowledge of current commercial capabilities and research and development activities in the data science community
  • Master's Degree in Computer Science, Mathematics, Applied Statistics or in "STEM" Majors (Science, Technology, Engineering and Math) from an accredited college or university. 7 years’ experience
4

Statistician / Data Scientist Resume Examples & Samples

  • Topics range from statistical process and quality control to econometrics, risk assessment, and market intelligence
  • You will be responsible for projects in this field closely co-operating with business units and central functions, like strategic planning and controlling, marketing and sales, production and quality control, supply chain management or procurement
  • In this context, you will communicate the ideas and solutions of predictive and prescriptive modeling to a broad community of non-statisticians and will be acting as a driving force in interdisciplinary project teams
  • Furthermore, you will establish and maintain collaborations with academic research groups in that domain evaluating new approaches and exploring new application opportunities
  • You have earned an outstanding PhD in statistics or data analytics, in business or natural sciences or in engineering with a strong quantitative focus
  • You are well experienced in applying statistical tools like R to real-world problems and familiar with combining and transforming data from heterogeneous sources
  • You are comfortable working in multinational interdisciplinary teams and preferably already gained international experience
  • Furthermore, you are a creative and motivated team player with strong communication and presentation skills
5

Statistician / Data Scientist Resume Examples & Samples

  • Create and deliver business insights for various application fields, like marketing, production, supply chain management and research by using mathematical & statistical methods and models
  • Select, evaluate and implement analytical methods and options based on own development, available research results and in collaboration with external research institutions
  • Define, extract, collate and analyze data from a variety of sources to create insights
  • Act as a key stakeholder in Asia-Pacific and connects the Global Business Analytics team with business and functional units in the region, in order to understand their business needs
  • Leverage knowledge from outside and ensure a sustainable implementation and knowledge transfer
6

Data Statistician Resume Examples & Samples

  • This individual must be agile, proactive and business savvy
  • Experience with the Department of Veterans Affairs is a plus
  • Needs to have experience predictive models using regression and data mining techniques, working with enterprise-wide/ large datasets, and strong familiarity with SAS and STATA at a minimum, and working knowledge of R is a plus
  • Bachelor’s Degree from an accredited college or university in related field required
7

De-identification Statistician, Data Sciences Resume Examples & Samples

  • Address complex problems with broad implications for research data, balancing the often competing needs of privacy and utility
  • Contribute to the strategic planning process and long-term direction for the Privacy and De-identification team and aligns plans between stakeholders
  • A Bachelor’s degree in Statistics or related discipline with a minimum of 8 years of relevant experience OR an advanced degree (Master’s or PhD) in Statistics or related discipline with a minimum of 3 years of relevant experience is required
  • Familiarity with tools and methods to calculate re-identification risk in clinical data is preferred
  • Candidate must possess the ability to document findings and applied methods with both detail and accuracy. Experience working with complex, multidisciplinary teams in a matrix environment is required
  • Strong data modelling and schema design experience and working knowledge of relational database modeling concepts and SQL is required
  • Experience using data profiling / quality tools, experience with ETL activities, knowledge of common data models (e.g. OMOP, i2b2) is preferred
  • Experience working with contractors is preferred
  • Excellent interpersonal skills and able to drive tasks in a diverse team is required.Info Technology
8

Data Analyst / Statistician Resume Examples & Samples

  • Build predictive models to assess the risk of money laundering activities
  • Design and optimize detection algorithms/rules in the very large financial monitoring system based on extensive data mining and statistical analyses
  • Implement models and algorithms. Maintain high quality code and documentation. Assure efficiency, stability and scalability of the solution
  • Demonstrated ability to communicate effectively, both orally and in writing
9

Data Analyst / Statistician Resume Examples & Samples

  • Maintains multiple data processes and associated process documents (collection, database structures, cleansing/validation procedures, movement of data between systems, analysis, reporting, etc)
  • Questions, identifies and resolves input discrepancies appearing in reports or routine audits of information. Continually reviews processes and provides recommendations for updates to process and implementation
  • Ensures that daily, weekly and monthly data updates occur. Generates regularly scheduled reports (daily, weekly and monthly) from a variety of databases in accordance with established deadlines
  • Works with Portfolio Managers, Research Analysts, Investment Operations and Performance Analysts to determine appropriate data requirements. Produces the output in accordance with the specifications provided
  • Reviews current data providers on an ongoing basis
  • Partners with Information Technology team to ensure efficiency and ongoing reliability of systems to ensures data integrity
  • Participates in special projects and performs other duties as assigned
  • Undergraduate degree or an equivalent combination of training and experience
  • One to two years general work experience; understanding of financial markets is preferred
  • Knowledge of financial data systems (IRESS, Teuters, Bloomberg)
  • Experience working with Fix Protocol and SWIFT
  • Strong working knowledge of Excel, VB, Matlab, SQL and other statistical software packages
  • Demonstrated quantitative aptitude including regression and other statistical analysis, familiarity with financial markets and fixed income markets
10

Data Analyst & Statistician Resume Examples & Samples

  • Supports in operational Quality control
  • Quality control and review of data production processes
  • Ensures global quality standards
  • Supports in analyzing and finding solutions for any Quality Measures
  • Reports quality results
  • Supports in liaising with relevant local divisions to identify gaps in data quality, areas of improvements and agrees on a timeline to improve the specific areas
  • With guidance, writes standard quality control operating procedures and supports in releasing to the local business
  • Supplies quality control data necessary for audits and quality assessments
  • May respond to internal or external customer complaints
11

Statistician / Data Scientist Resume Examples & Samples

  • Topics will range from statistical process and quality control to econometrics, risk assessment and market intelligence
  • You will be responsible for projects in this field closely co-operating with business units and central functions, like supply chain management or procurement
  • You have earned an outstanding PhD in statistics or data analytics, in business, natural sciences or in engineering with a strong quantitative focus
  • You are well experienced in applying statistical tools like R to real-world problems and your are familiar with combining and transforming data from heterogeneous sources
12

Statistician / Data Scientist Resume Examples & Samples

  • Stay abreast of and adopt, as appropriate, new technologies, new innovation processes and is comfortable in an entrepreneurial environment
  • Highly proficient in the details of the products he/she has been involved with, but still provides creative improvement suggestions (contributions) to the definition of new products. Develops and effectively communicates his/her ideas or improvements/variations on the ideas of others
  • Provides technical help and suggestions for other engineers; is eventually recognized as an expert in the product(s) he/she supports or develops. In general, shares his/her knowledge with others
  • Hands-on contributor and team player
  • Good communication skills - written and verbal
  • Manages individual project priorities, deadlines, and deliverables
  • Understanding of Data Science algorithms and methods
  • Work closely with team to design, develop and validate Data Science models for business problems
  • Understand business problem and formulate them into a Data Science problem to solve those using empirical methods
  • Able to choose/apply the right big data / machine learning technologies to solve the given business problem
  • Investigate continuously into adapting new technologies for decision science and decision support applications
  • Advanced math skills, with deep knowledge and understanding of numerical and statistical methods and machine learning algorithms and how they can be used to solve complex problems quickly and effectively
  • Proficient in enterprise grade programming languages such as Java and Python
  • Proficient in the use of data analysis platforms such as R, Python (e.g. pandas, statsmodels, sklearn) and RapidMiner
  • Proficient in the use of numerical modelling tools, such as Mathematica and MATLAB/Octave
  • Proficient in the use of big data platforms and paradigms, such as Apache Spark, Apache Storm and Hadoop/MapReduce
  • Proficient in the use of Microsoft Office programs, such as Word and Excel
  • Ability to multi-task. Ability to work in geographically separated diverse teams
13

Statistician / Data Scientist Resume Examples & Samples

  • Produces innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
  • Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and makes valuable discoveries leading to prototype development and product improvement
  • Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data
  • Generates and tests hypotheses and analyzes and interprets the results of product experiments
  • Works with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation
  • Must have an active TS/SCI
14

Data Analyst / Statistician Resume Examples & Samples

  • Build predictive models/solutions to assess the risk of money laundering activities
  • Proficiency in data visualization and scripting/programming languages (SAS 4GL,SQL/PL-SQL)
  • VBA, R as a plus
15

Statistician, Data Sciences Resume Examples & Samples

  • Serve as a technical leader of the project team in the field of Privacy and De-identification Analytics, with specific expertise in the following areas: statistics, de-identification, risk assessment, and the structure and content of clinical data sets
  • Categorize identifiers and quasi-identifiers, as well as develop the methods to accurately assess re-identification risk and alter data elements to reduce that risk
  • Work in collaboration with business team and/or Business Relationship Manager to understand business demands and identify opportunities
  • Participate in development of software tools, applications, and analyses to support need to ensure patient privacy while maintaining utility
  • Ensure solutions are consistent with business objectives or business strategy
  • Make decisions regarding resource alignment/dedication and prioritization (people resources, dollars/funding, project criticality) and communicate rationale back to the business and project management
  • A Bachelor’s degree in Statistics or related discipline with a minimum of 3 years of relevant experience OR an advanced degree (Master’s or PhD) in Statistics or related discipline
  • Experience building population statistics to compare to the prevalence of elements in the analysis dataset is preferred
  • Experience working with complex, multidisciplinary teams in a matrix environment is preferred
  • Strong data modelling/data mapping/data manipulation and schema design experience and working knowledge of relational database modeling concepts and SQL or equivalent language such as R, SAS, or Python is required
  • Understanding of clinical data model/standards/vocabularies such as MEDRA, SNOMED, CDISC, CDM and RxNORM is preferred
  • Experience working in a data warehouse environment with exposure to INFORMATICA, Redshift and Teradata. Knowledge of health outcomes databases (claim, EMR/EHR, survey, observation studies) is preferred
  • Strong expertise in health informatics, including familiarity with health outcomes databases, clinical trial registries, understanding of IT resource and cost drivers for a franchise or business unit is preferred
16

Quantitative Data Analyst / Statistician Resume Examples & Samples

  • Provide quantitative support on the entire study lifecycle, including
  • MS or MPH in Biostatistics, Epidemiology, or closely related degree and minimum of 3 years of experience supporting clinical or epidemiological studies as a statistician/quantitative analyst
  • Programming language proficiency (Perl, Python, Java)
17

Data Analyst / Statistician Resume Examples & Samples

  • Ability to apply sampling techniques in order to determine size of groups to be studied
  • Identify issues with statistics and offer correct solutions
  • Identify relationships and trends in data, as well as any factors that could affect the results of the research
  • Assists the Research Coordinator and/or PI with the development of study manuscripts, technical reports, and dissemination materials (i.e., manuscripts, posters )
  • 1) Bachelor’s degree or higher in a relevant field, with specific training completed in Human Subjects Research (Collaborative Institutional Training Initiative (CITI): (1) Department of Navy (DON) Investigators and Key Research Personnel - Biomedical - Basic Course, (2) Good Clinical Practice for DON Investigators, and (3) Research Integrity Training. Two years of related experience
  • 2) Contractor personnel shall possess knowledge of human subjects’ research
  • 3) Contractor personnel shall be able to read, write, and speak English fluently in order to effectively communicate with all NMCSD staff. Contractor employees shall have the ability to enunciate with sufficient clarity to be readily understood by staff and potential research collaborators
  • 4) Contractor personnel shall possess sufficient initiative, interpersonal relationship skills and social sensitivity such that they can relate constructively with NCMSD staff and research collaborators as well as students undergoing training in a hyper-realistic simulated environment
  • 5) Contractor must provide Curriculum Vitae and/or resume attesting to proven experience and training
  • 6) Contractor must have experience in creating databases for analysis using various types of statistical software including but not limited to SAS and SPSS
  • 7) Must be able to develop an acceptable or peer reviewed plan of data collection methods for specific projects
  • 8) Must be able to determine and use the appropriate statistical tests to use to answer research questions
  • 9) Must comprehend and analyze data results and to present data in laymen’s terms
  • 10) Must be able to analyze and interpret statistical data in order to identify significant differences in relationships among sources of information
  • 11) Shall be able to evaluate sources of information in order to determine any limitations in terms of reliability or usability
  • 12) Demonstrate the knowledge and ability to apply sampling techniques in order to determine size of groups to be studied
  • 13) Must be able Identify issues with statistics and offer correct solutions
  • 14) Must be able to identify relationships and trends in data, as well as any factors that could affect the results of the research
18

Data Scientist / Snr Statistician Resume Examples & Samples

  • A Bachelors or Masters degree in Statistics, Economics, Econometrics, and Computer Science or a related field
  • At least two years of relevant quantitative experience analyzing data
  • Alternatively, a relevant combination of education, training and work experience
  • Experience with R and Python
  • Experience with Spark, SparkR, and PySpark within distributed environment is preferred
  • Strong SQL or Hive skills
  • Experience working with large volumes of complex claims data
  • Local language skills to an advanced level (spoken and written), with complete fluency in English
19

PYE Data Analyst / Statistician Resume Examples & Samples

  • Serve as a data analysis / statistical consultant with focus on the needs from the NVE/PYE organization and be available to companywide data analysis / statistical consultation
  • Provide data analysis / statistical training to Micron team members
  • At least 3 years of experience in related industry applying a variety of statistical data analysis methods (e.g., reliability statistics, sampling methodology, ANOVA, regression analysis, design of experiments, predictive modeling, statistical process control, etc.). Experience applying statistics in the semiconductor industry is preferred
  • Ability to extract data from different databases via SQL and other query languages (Perl, Python, etc.) and applying data cleansing, outlier identification, and missing data techniques. Ability to work with small, big, structured, semi-structured, and unstructured data
  • Ability and experience teaching short-courses in data analysis or applied statistics to engineers and technical management
  • Capable of visually summarizing and presenting advanced analytical results to engineers and technical management
  • Knowledge of DRAM / NAND burn-in and testing
  • Knowledge and experience in DRAM or NAND product engineering
20

Data Insight Analyst Statistician Resume Examples & Samples

  • Support business units including Schools, FE, PQS and HE for their data and reporting requirements
  • Respond to data queries from business units with accurate and reliable data
  • To develop a detailed understanding of Pearson customers and products to inform any data analytics
  • To provide insight and analysis as required by senior numbers of the team or other stakeholders
  • Build relationships with key stakeholders to understand their data requirements and translate these into viable reports
  • To learn appropriate software skills, including SSRS and MDX, to build dashboards and reporting environments
  • To gather requirements from stakeholders and turn these into wireframes and reporting tools as required under the direction of senior team members
  • Work with colleagues across the business to standardise data attributes and establish consistency across data sources
  • Produce regular data reports and dashboards to inform decision making
  • Work with external researches on specific research projects
  • Develop expertise in analysis and reporting of learner progression and outcomes
  • Data analytics experience preferable
  • Experience in the education or related sector
  • Microsoft Excel and ability to use statistical packages such as R
  • Proficient in Microsoft Project and Visio
  • Degree level qualification in a numerate or structured subject with a statistical component
  • First degree or higher in statistics
21

Statistician, Data Scientist Resume Examples & Samples

  • Validate and build predictive models (decision trees, linear regressions, models for binary outcome) within the agreed schedule and following globally consistent methodology
  • Use visualization techniques to display data and the results of analysis in clear straightforward presentations that can be understood by non-technical readers
  • Statistical/data analytical skills - including both calculation and interpretation of outcome
  • Master degree in statistics/mathematics/technical science (PhD degree may be considered for the fulfillment of work experience requirements)
  • Degree in economics/banking may be considered if strong analytical skills
22

Statistician / Data Scientist Resume Examples & Samples

  • Accelerate business results for our higher education clients through data and analytics
  • Create models by applying robust predictive/prescriptive modeling methodologies
  • Perform original quantitative research on large, complex data sets, including acquisition of domain knowledge, determination of important research questions, data collection and manipulation, statistical analysis, validation and visualization of data, and presentation of findings
  • Partner with constituents across the business to leverage insights from our data assets
  • Communicate and coordinate with senior management and other business leaders within the organization
  • Develop your higher education and direct marketing industry domain knowledge, analytical capabilities, and technical skills
  • Recommend ways to improve the design, development and delivery of statistical analyses, including automated approaches
  • Bachelor’s degree in Mathematics, Statistics, Data Science or other quantitative field
  • 3-5 years’ experience in quantitative field
  • Strong analytical, quantitative, problem solving and conceptual skills
  • Ability to communicate/present statistical information and ideas to technical/non-technical audiences at all levels
  • Experience conducting statistical analyses within SPSS, R, SAS or other major statistical software
  • Passion for acquiring domain knowledge and curiosity regarding data
  • Master’s degree or PhD in quantitative field or equivalent experience
  • Experience building applications in Python, R, or another high-level language used in statistical computing
  • Database design and SQL-based data cleansing, transformation, summarization, and analysis
  • Experience with machine learning techniques and approaches, such as generalized linear models and random forests
  • Experience in a direct marketing environment
23

Statistician Data Analyst Resume Examples & Samples

  • Provide statistical and mathematical support to the Business Analytics (BA) COE with metric analysis of internal and external customer data sets
  • Assist in development of the BA COE strategy and framework to include training and guidance relating to the statistical analysis tools included in the Enterprise BA toolkit
  • Assist with implementation of statistical analysis process improvements of existing BA customers
  • Facilitate meaningful interaction between the government agency and their customers to help them understand statistical analysis results and refine data sets to answer specific business questions
  • Utilize to the maximum extent possible the existing BA toolkit currently in place
  • Provide continuous feedback and recommendations to the OGS Management Office
  • Develop performance metrics to assess BA COE maturity level
  • Prepare reports, briefings, documents and evaluation of results as required
24

Data Analytics Specialist / Statistician Resume Examples & Samples

  • Develop advanced statistical models which will allow the independent, continuous, and comprehensive evaluation, planning, and analysis of claims processing
  • Review applicable policies and select the most suitable methods of statistical analysis to provide the requested information and appropriate confidence in order to make data-driven decisions
  • Translate statistical findings into terms easily understood by laypeople and meaningful to decision makers, managers, and test officers
  • Provide expertise in the areas of design of experiments and statistical analysis
  • Use statistical software packages, such as SAS or Minitab, to generated test matrices
  • Develop models able to determine alpha and beta errors for conducting power and sample size analyses
  • Utilize analyses to include t-tests, analysis of variance, F-tests, and homogeneity of variance
  • Calculate the confidence intervals and tolerance intervals, when needed
  • Deliverables include, but are not limited to
  • Models
  • Charts and graphs
  • Briefs
  • Reports
  • BS or BA degree in Quantitative Analysis, Economics, Statistics or related field
  • Minimum 6 years of experience in the areas of design of experiments and statistical analysis
  • In-depth knowledge of statistical principles and theory
  • Ability to translate statistical findings into actionable information
  • Experience developing models able to determine alpha and beta errors for conducting power and sample size analyses
  • Experience performing a variety of statistical analyses, including t-tests, analysis of variance, F-tests, and homogeneity of variance
  • Experience using SAS or Minitab (or other statistical packages) for statistical analysis
  • Prior Veterans Affairs (VA) experience
  • Prior experience at Veterans Benefits Administration (VBA), preferably with the Compensation Service
  • Past or current VA Access
25

Maryland Longitudinal Data System Statistician Resume Examples & Samples

  • Determine methods of statistical analysis and apply techniques to determine means of measurement. Ensure validity and accuracy of data and compliance with quality control requirements
  • Design and remodel quantitative research projects, analyze findings, develop conclusions, write reports, prepare presentations of relevant findings and conclusions, and recommend appropriate actions
  • Perform required data extraction through programming such as SQL and report on progress of programs, studies, and/or projects. Duties include performing and supervising data collection; compile and analyze data; and interpretation of trends, fluctuations, and other changes
  • Perform simple and sophisticated data searches and exchanges among micro, mini, and mainframe-based statistical software applications to generate standard and customized reports using statistical applications
  • Develop and formulate best practices and protocols in data collection, warehousing, analysis, and reporting including developing special forms and/or formats for analyzing and presenting data
  • Evaluates research methods, data analyses, and interpretation and provides critical feedback. Compiles, summarizes, and analyzes data, and interprets results for research and quality improvement projects
  • Contributes methodological and statistical write ups and tables, charts, or graphs for presentations, manuscripts, and grants; occasionally provides oral presentations
  • Mentors scholars to support research, quality improvement and other scholarly project development and completion
  • Assist investigators with evaluating research projects, assisting in the preparation of required agency and/or funder reporting
  • Explains methodological and statistical approaches to choose appropriate research and analytic approaches to meet specific aims
  • Performs other duties as needed to support the research/scholarship mission of the SSW
  • Comprehensive knowledge of quantitative statistics, including modern regression methods. Ability to design of research studies data collection procedures and warehousing. Comprehensive knowledge of research and review methodology including experimental and quasi-experimental, cross-sectional and longitudinal observational research and quality improvement. Ability to interpret statistical data using software such as SAS, R, Stata, or Mplus. Skill in data analysis and statistical interpretation. Skill in data management software. Ability to understand and utilize health and statistical terminology and research theory. Able to perform position in compliance with all requirements, regulations, and laws. Ability to maintain high standards with the work being performed and maintain awareness with trends and influences. Assumes personal responsibility for all outcomes; makes effective and timely decisions; and learns how to effectively use technology. Maintains productivity and uses knowledge strategies to increase knowledge base
  • Excellent written skills for writing methods, results, and other statistical reports in a clear and concise way. Skill in presenting statistical results using a variety of graphic and other presentation software. Ability to effectively communicate both verbal and written thoughts, ideas, and facts. Interprets and understands written information and is able to listen attentively to verbal and non-verbal cues that lead to a deeper understanding
  • Ability to work as part of a team and independently perform or lead activities. Ability to mentor and guide others. Ability to use a consultative approach to resolve issues in area of responsibility
  • Ability to work cooperatively with others and demonstrates professional, ethical, respectful, and courteous behavior when interacting with others. Capable of interacting pleasantly and positively with other to meet customer expectations, and provide follow up with customers. Ability to maintain confidentiality of subjects and information obtained
26

Statistician / Data Manager Resume Examples & Samples

  • Bachelor's degree or higher with a major in statistics or a related field
  • Knowledge of at least one statistical program such as STATA, SAS, or R is required. Experience with database programs such as MS Excel, MS Access, and SQL is required to ensure the accuracy of study data, produce several databases for clinical and specimen management, produce relevant datasets for analysis, conduct data analysis, and prepare data for publication/presentation
  • Knowledge of statistical principles is needed to perform the appropriate statistical analysis
  • Skills to communicate complex information in a clear and concise manner both verbally and written
  • Master’s degree in statistics, epidemiology, public health or a related field
  • Knowledge of medical terminology with a focus on HIV-associated pneumonias and microbiome profiling is needed to work with the many study collaborators
  • Experience working in HIV/AIDS and/or pulmonary research
  • Experience working on international collaborations
27

Data Manager / Statistician Resume Examples & Samples

  • Bachelor's degree in the field of science, math, engineering, computer science, or statistics from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization
  • Proven experience working with data reduction tasks or organization of databases of experimental data
  • Computer programming skills in UNIX and Windows environments, and solid working knowledge of at least one analysis package such as S-Plus, R, MATLAB, and/or Python
  • Experience configuring software and hardware for both Windows and UNIX machines
  • Strong math and statistics skills, including robust regression and times series analysis
  • Strong work ethic and exhibit a willingness to embrace and work within a culturally diverse environment
  • M.S. degree in science, computer science, or math from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization
  • Experience plotting scientific data for presentation and publication, including 3D color contour plots
  • Experience with instruments used in the research program
  • Familiarity with atmospheric chemistry concepts and chemical compounds measured by our programs
  • Experience writing scientific papers and presentations
  • Experience with multiple data analysis software packages
  • Experience creating and maintaining web pages for research groups or data archives
28

Statistician Data Analyst Resume Examples & Samples

  • 7-10 years
  • Proficient in analyzing large amounts of data, preferably GEOINT data
  • Demonstrated proficiency with MS Excel (formulas, pivot tables & charts) and PowerPoint. government agency experience
29

Statistician Data Scientist Enterprise Analytics Resume Examples & Samples

  • Statistical Modeling Design, Development, and Analysis - Designs and develops enterprise-class statistical models to understand and solve complex business problems. Participates in design/development of comprehensive data processing, reporting and analytical solutions
  • Technical Reporting & Documentation - Writes statistical methodology and results for technical reports and publications. Develops metrics and scorecards. Creates graphics for data visualization and information display. Develops and documents technical designs such as Entity Relationship Diagrams (ERD), data flow diagrams, object-oriented design documents and UML diagrams
  • Technical Support and Expertise - Works closely with teams to identify and advise strategic product decisions. Provides application support by analyzing reported defects and replicating/fixing the defects. Acts as a resource for team members in translating business needs into technical designs. Ensures design quality by creating, conducting, and documenting testing. Identifies technical roadblocks and troubleshoots and resolves functional and performance related issues
  • Collaboration and Teamwork - Works with teams to generate and organize methods, plans, and data constructs necessary for effective clinical and business analyses. Develops and maintains working relationships with internal departments and external contacts as appropriate
  • LI-MM2
30

Data Science Statistician Resume Examples & Samples

  • Assembles data sets from disparate sources and analyzes using appropriate quantitative methodologies, computational frameworks and systems
  • Uses appropriate methodologies to develop algorithms and predictive models
  • Designs and analyzes experiments
  • Disseminates findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
  • Leads short-term projects and participates in long-term research initiatives
  • Critically and logically evaluates the cost, risks and benefits of alternatives before coming to a solution
  • Probes and looks past symptoms to determine the underlying causes of problems and issues
  • Approaches problems holistically, defines connections, linkages, interdependencies and develops solutions
  • Recognizes the broad, systemic implications of problems and issues
  • Takes responsibility for communicating and assisting in implementing decisions
  • Meets with business units to understand current problems that are being addressed and current needs
  • Pilots, tests, implements and maintains decisioning models
  • Has ability to understand complex data, their relationships and define solutions at enterprise scale
  • Performs other duties as assigned by management
  • Demonstrated sound statistical knowledge in standard techniques: Logistic Regression, Cluster Analysis, Random Forests, Experimental Design, etc
  • Proven expertise in data analysis using R or Python (numpy, scipy, matplotlib, scikit-learn, pandas, etc.) programming languages
  • Demonstrated experience developing probabilistic models and machine learning algorithms
  • Proven experience working with data and relevant computational frameworks and systems
  • Demonstrated knowledge of NoSQL systems, Hadoop, Spark, etc
  • Proven exceptional problem solving skills and willingness to learn new concepts, methods, and technologies
  • Demonstrate ability to work in a highly collaborative environment
  • Proven outstanding communication skills
  • R, Python, SAS, Hadoop
31

Data Manager / Statistician Resume Examples & Samples

  • Provide biostatistical support including HIPAA compliant data analysis
  • Assist faculty and residents in study design, including quantitative and qualitative research support and survey creation
  • Provide research and grant writing support
  • Assist in formal resident research education: design and deliver classroom sessions
  • Mentor undergraduate/medical student researchers