Statistics

Statistics Data Jobs

16 jobs found

Today

Data Scientist III

Centene St. Louis, MO

St. Louis, MO

Today

$108k - $199k/yr Full time Advanced Analytics Artificial Intelligence Big Data

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Job Description

Centene is hiring a Data Scientist III for an onsite role in Missouri, supporting Ambetter membership forecasting and reporting. In this position, you will develop predictive models, analytic frameworks, and data products that support financial planning, pricing, and strategic decision-making while accounting for regulatory, competitive, operational, and product-level changes.

What you will do

Design and build data models that predict member outcomes or the future impact of key member decisions
Design, develop, validate, and maintain machine learning and statistical models, including forecasting methodologies for Marketplace membership and related business outcomes
Build and manage data assets, feature engineering pipelines, and analytical datasets that power forecasting and reporting
Perform exploratory analysis to spot emerging trends, structural market shifts, and business drivers that affect forecast performance
Design and construct analysis tools to extract and analyze data, and store analytical results in formats aligned to business needs
Conduct exploratory data analysis from complex data sources to create key datasets in support of Centene’s mission
Evaluate and design experiments to monitor key metrics and identify opportunities to improve outcomes
Develop mathematical and statistical models to identify relevant content or events and recognize patterns
Present research findings and communicate results of analysis
Contribute to automated, operational analytics processes that support scale and durability of analysis
Validate and measure health management program outcomes using SAS, R, and other tools, including provider, claims, and membership data
Manage multiple projects as assigned and help train Data Analysts
Support technical team liaisons across business requirements gathering, documentation, testing, delivery, and user adoption for Health Plan initiatives

Required qualifications

Authorization to work in the U.S. without employment-based visa sponsorship now or in the future
No sponsorship available, including H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT
Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, or Experimental Science with 5+ years of experience, or a Bachelor’s degree with 7+ years of quantitative analysis experience in data science capabilities such as data mining, predictive modeling, machine learning, statistical modeling, large-scale data acquisition, transformation, and analysis of structured and unstructured data
Experience with database technologies including Teradata, MS SQL Server, and Snowflake

Preferred skills

R, Python, SQL, Databricks, Snowflake, Posit, and JupyterHub

Tools and technologies

R, Python, SQL
Databricks, Snowflake
Posit, JupyterHub
SAS, Teradata
MS SQL Server

Compensation and benefits

Competitive pay: USD 107,700 - 199,300 per year
Health insurance
401K and stock purchase plans
Tuition reimbursement
Paid time off plus holidays
Flexible approach to work with remote, hybrid, field, or office work schedules

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21d ago

Data Analyst

LinQ Global Group Boston, MA

Boston, MA

21d ago

$50 - $50/hr Contract Analytics Business Intelligence Cloud Data Warehouse

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Job Description

LinQ Global Group is hiring a Data Analyst for a contract role based in Boston, MA 02108 (onsite). In this position, you will help support health system planning, emergency preparedness, and public health surveillance through epidemiologic analysis, dataset integration, and clear reporting for decision-makers.

The work focuses on turning healthcare and public health data into actionable recommendations, including near real-time monitoring, dashboard and GIS visualization, and ongoing evaluation of surveillance system performance and data quality.

What you’ll do

Perform epidemiologic surveillance and analysis of healthcare utilization, capacity, workforce, and service delivery data.
Monitor syndromic surveillance and other near real-time data sources to detect emerging trends in health system demand and delivery.
Link, clean, and analyze multiple state and federal datasets using SAS, SQL, Snowflake, or similar tools.
Create dashboards, maps, and other visualizations using Tableau, Power BI, ArcGIS, and related software.
Support facility onboarding to the Automated Capacity Occupancy Reporting Network (ACORN), including technical assistance and data quality review to support real-time capacity submissions.
Evaluate surveillance systems and recommend improvements to data quality, validity, and timeliness.
Contribute to emergency preparedness planning, situational awareness, and public health response activities.
Produce reports, data briefs, presentations, and policy recommendations for agency leadership and partners.
Collaborate with internal and external stakeholders to improve health system planning and resilience.

Required qualifications

Master’s degree in Epidemiology, Public Health, Biostatistics, Health Informatics, Data Science, or a related field.
Experience with SAS and SQL.
Experience with Tableau, Power BI, and/or ArcGIS.
Knowledge of public health surveillance, healthcare data systems, and epidemiologic methods.
Strong communication, project management, and stakeholder engagement skills.

Key technologies and tools

SAS, SQL, Snowflake
Tableau, Power BI, ArcGIS
ACORN

Compensation: USD 50 per hour (listed as $50/hr on W2). Location: Boston, MA 02108 (onsite). Job type: contract. Duration: 12 months possible ext.

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21d ago

Research Data Analyst

Vanderbilt Health Nashville, TN

Nashville, TN

21d ago

Full time Analytics Data Data Analysis

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Job Description

Vanderbilt Health is seeking a Research Data Analyst to support complex qualitative and quantitative research efforts tied to health policy, public health, or related disciplines. This role focuses on intermediate-level research work, with an emphasis on quantitative analysis, data management, and helping prepare project deliverables for proposals and ongoing projects.

Based in Nashville, TN, this position is onsite and is designed for candidates with at least 2 years of relevant work experience and a Master’s degree. You will collaborate across internal and external teams while using advanced statistical and programming skills to manage large datasets and support reporting activities.

What you’ll do

Apply quantitative research methods to contribute to the design, coordination, and execution of research projects.
Promote collaboration among team members, including partners internal and external to the department.
Use advanced statistical and data programming skills to manage and analyze data and summarize and interpret complex results (e.g., with SAS, Stata, R).
Manage large and/or complex datasets to support analysis and reporting needs.
Prepare materials and draft technical sections for presentations and written documents.

What you’ll bring

Intermediate-level research skills covering quantitative research activities such as data management, quantitative data analysis, report preparation, and management of project budgets and schedules for proposals and projects.
Expertise in data modeling and an understanding of relationships between data items.
Ability to identify, validate, extract, and format data for statistical analysis, including creating, modifying, and running queries and producing reports.
Experience seeking, collecting, transforming, and ensuring the quality of data.
Strong presentation skills, with the ability to prepare effective presentations and speak competently to the audience.
Relevant work experience.

Tools and technologies

SAS
Stata
R

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22d ago

Data Analyst

Columbia University New York, NY

New York, NY

22d ago

$70k - $80k/yr Full time Analytics Data Data Analysis

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Job Description

Columbia University is hiring a Data Analyst to support a Principal Investigator (PI) with data and sample management for epidemiologic studies. The role focuses on preparing datasets for analysis, running statistical work for scientific outputs, and improving how samples and images are tracked and quality-controlled.

This is an onsite position in New York, NY with a salary range of USD 70,000 to 80,000 per year. The position requires at least 3 years of related experience and a Bachelor’s degree or equivalent education and experience.

What you’ll do

Manage and clean existing datasets used in epidemiologic research.
Run statistical analyses to support progress reports and abstracts/manuscripts.
Assemble and review relevant literature from related studies.
Prepare documentation required for regulatory and IRB review.
Create and maintain databases for samples and images stored for study use.
Develop tracking systems and support quality control for samples.
Contribute new ideas for manuscript development and future studies.
Provide statistical analysis support to the study team.
Perform other related duties and responsibilities as assigned or requested.

Key responsibilities in the day-to-day

Support the PI with managing and analyzing data and samples from planned, ongoing, and completed epidemiologic studies.
Clean and create databases for completed studies, including appropriate documentation.
Build analytic databases and support statistical write-ups for reports, abstracts, and manuscripts.
Establish systems for tracking samples, images, and other data, while developing quality control systems.
Independently design, initiate, and conduct statistical analyses for publication write-ups and planning for future studies.

Skills and tools

R-Studio
SAS

Requirements

Bachelor’s degree or equivalent in education and experience, plus three years of related experience.

Preferred qualifications

Bachelor’s degree in a quantitative field.
Experience managing and analyzing data from epidemiologic studies.
Proficiency in R-Studio or SAS for statistical analysis.

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23d ago

Associate Data Scientist

Mercury Insurance Services, LLC Remote 🌍 Remote

Remote

23d ago

$68k - $162k/yr Full time Analytical Skills Analytics Artificial Intelligence

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Job Description

Mercury Insurance Services, LLC offers an engaging work environment with competitive compensation and benefits designed for day-to-day stability and long-term growth. This role is remote (work from anywhere in the United States for most positions), with paid time off, incentive bonus programs, and comprehensive insurance coverage. You’ll also have access to education and professional/personal development opportunities, company recognition, and health and wellbeing resources including free mental wellbeing therapy/coaching sessions.

The Associate Data Scientist role focuses on analytics that uncover business opportunities, answer business questions, and deliver data-driven business solutions using statistical models and machine learning. You’ll partner across departments, support project reporting and monitoring, and contribute to implementation-ready data work.

Responsibilities

Work with business departments to understand processes, needs, and analysis priorities.
Identify and use relevant data sources to perform project work and ad-hoc analyses using statistical and machine learning algorithms.
Operate independently with some guidance from senior data scientists and management.
Communicate analysis needs, results, and recommendations with colleagues and managers.
Provide data support on projects and work with business teams on implementation.
Create and maintain monitoring procedures and reports; look for ways to improve accuracy and efficiency.
Collect data from different applications and data infrastructure.
Extract, transform, and load large amounts of structured or unstructured data from multiple sources.
Clean and prepare data for analysis, including quality and consistency checks, and optimize data retrieval methods when needed.
Create and maintain reports, graphs, and charts using dashboard and other programming approaches and MS Excel.
Follow procedures to streamline analysis processes and support automated procedures to reduce cost and improve efficiency.
Respond to business questions and requests related to reports.
Communicate regularly with SMEs, EBI, MTS, and Management to learn job functions, relevant processes, and KPIs measuring business performance.
Create presentations summarizing problems identified and potential solutions.
Participate in meetings to share findings and recommendations.
Maintain strong graphing skills and be proficient at preparing and presenting PowerPoint presentations.

Requirements

Typically acquired through successful completion of a Bachelor’s degree in math, statistics, computer science, or other related areas.
Master’s Degree (or ACAS) preferred.
Completion of the Summer 2026 Internship at Mercury Insurance.
At least 2 years of experience in data mining and data/statistical analysis.
At least 2 years experience with SQL and statistical software packages: Python, R, and/or SAS.
Experience in insurance or financial service related fields.
Demonstrated solid skills in data mining, machine learning, programming, and optimization.
Knowledge of cloud-based advanced data and analytics environments.
Passion for problem-solving and comfort with ambiguity.
Ability to think conceptually, analytically, and creatively.
Experience using R, Python, and other programming languages.
Strong skills working with large structured and unstructured data sources.
Experience with predictive modeling, general model building, and validation procedures.
Excellent problem-solving, analytical, and critical thinking skills.
Excellent written and verbal communication skills.
Demonstrate the company’s Core Values.

Technologies

SQL, Python, R, SAS, MS Excel, PowerPoint

Benefits

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401(k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Location and Salary

Remote (remote)
Salary range: USD 68,457 - 161,815 per yearly
An in-person interview may be required during the hiring process
State-specific pay scales:
- $83,670 to $161,815 (NJ, NY, WA, HI, AK, MD, CT, RI, MA)
- $76,064 to $147,104 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)
- $68,457 to $132,394 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)
- In CA: Typical hiring range is $110,468 to $153,428
The expected base salary will vary based on relevant experience, skills, and location.

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26d ago

Research & Data Analyst

InGenesis Houston, TX

Houston, TX

26d ago

Part time Analysis Analytics Data Analysis

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Job Description

InGenesis is seeking a Research & Data Analyst to support applied research, program evaluation, and reporting across education, workforce development, healthcare, and related initiatives. This part-time role is based in Houston, TX (onsite) and focuses on quantitative analysis, evaluation reporting, and clear communication of results to program and research teams.

Responsibilities

Conduct descriptive and inferential statistical analyses using survey, administrative, and program data.
Clean, merge, validate, and document datasets drawn from multiple sources.
Score surveys and assessment measures according to established protocols.
Create summary tables, figures, dashboards, and technical appendices to support evaluation deliverables.
Calculate and interpret evaluation metrics, including frequencies, percentages, means, standard deviations, effect sizes, correlations, regression models, and subgroup comparisons.
Update existing reports and evaluation products as new data become available.
Support development of technical reports, grant reports, manuscripts, presentations, and stakeholder-facing products.
Translate statistical findings into clear language for non-technical audiences.
Maintain organized analytic documentation and reproducible workflows.
Perform other duties as assigned.

Requirements

Master’s degree (or advanced graduate training) in a related quantitative field.
At least 2 years of experience conducting quantitative analyses for research, evaluation, or applied analytics projects.
Proficiency in R, SAS, SPSS, Stata, Python, or similar statistical software.
Experience working with survey, administrative, or program evaluation data.
Strong written communication and technical reporting skills.

Education

Master’s degree (or advanced graduate training) in a related quantitative field.

Preferred Qualifications

Experience supporting federally funded, state-funded, or grant-funded research and evaluation projects.
Familiarity with education, workforce development, healthcare, early childhood, or social service programs.
Experience producing stakeholder-facing reports and data visualizations.
Experience conducting subgroup analyses and longitudinal analyses.

Technologies

R
SAS
SPSS
Stata
Python

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30d ago

Data Scientist (Mid-level - Principal)

Indiana Michigan Power Company Bridgman, MI

Bridgman, MI

30d ago Closed

$88k - $151k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Join Indiana Michigan Power Company and apply data science to real business decisions. This onsite role in Bridgman, MI focuses on uncovering patterns across different data types, building analytics that support operations and strategy, and turning findings into dashboards and reports for business and management teams. The compensation range is USD 87,633 to 151,132.50 per year, with a comprehensive benefits package.

What you’ll do

Develop moderately complex analytical tools that address high-value business needs across AEP.
Use analytical and data management skills to deliver actionable business intelligence.
Identify and acquire data needed to solve business problems, building knowledge of relevant organizational context.
Develop components of predictive and prescriptive systems to optimize operations and support strategic initiatives.
Apply data visualization techniques to large datasets to improve understanding and interpretation.
Conduct research to stay current with industry practices and apply inquiry skills to clarify business processes and needs.
Collaborate with stakeholders to define the value additional analysis can provide.
Work with technology partners to improve data acquisition and data management practices.
Create clear, concise written reports and deliver oral presentations of results.
Build reporting dashboards for status, trends, and variances, and operationalize reporting with technology and business units.
Consult with business partners to identify, prioritize, and develop actionable insights across core business areas.

What you bring

A Bachelor’s degree in mathematics, operations research, statistics, economics, data science, computer science, or a related field.
2+ years of relevant work experience. An equivalent combination of education and related experience may be considered.
Experience with analytics packages such as SAS, R, or SPSS.
Proficiency directing the use of analytics packages like SAS, R, SPSS.
Database concepts understanding, with the ability to provide clear direction to staff managing data for analytics use cases.
Collaboration experience and comfort acting as an established leader in a team-oriented environment.
Strong problem solving and critical thinking skills.
Excellent oral and written communication skills.
Must establish and maintain a permanent residence within a 45-minute safe drive time to the D.C. Cook Nuclear Power Plant.