Data Statistician Resume Samples

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O Botsford

Ozella

Botsford

3185 Little Ferry

Dallas

+1 (555) 500 9753

3185 Little Ferry

Dallas

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

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

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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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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