Senior Statistician: ML-Driven Analytics & Visualization

National Opinion Research Center - NORC; Washington (District of Columbia); Hybrid; USD 130,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Retirement plan (defined contribution)

Life and disability insurance

Paid time off & parental leave

Job summary

NORC at the University of Chicago is seeking a Statistician III to join the Statistics and Data Science department. This hybrid role is based in Chicago or Washington, DC, and involves cross-project collaboration, applying advanced statistics, survey methodology, and ML/AI to deliver trustworthy data and insights.

Responsibilities include mentoring staff, presenting results to clients, contributing to proposals, and ensuring data privacy and reproducible analytics across the data lifecycle. U.S.

Qualifications

• Master's degree in statistics, mathematics, data science, computer science, or related field required.
• Ph.D. preferred.
• Experience in leadership in data visualization with R/Tableau/Power BI; data privacy methods; sampling, weighting, and variance estimation; and analytical pipelines for statistical analysis, data visualization, and AI/ML.

Responsibilities

• Provide statistical expertise across projects, including study design and advanced methods; contribute to technical planning and quality of work products.
• Lead survey statistics tasks: sample selection, weighting, nonresponse analyses, variance estimation; contribute to reports.
• Develop robust data engineering and analytics pipelines for reproducible, scalable analysis and ML/AI applications.
• Uphold data disclosure limitation and data privacy best practices; apply statistical disclosure limitation for public releases.
• Create dashboards and visualizations; set data visualization standards for projects.
• Design and develop programs/scripts for data cleaning, integration, transformation, validation; maintain data dictionaries.
• Write SAS, R, and Python programs to extract/manipulate data and run analyses.
• Establish reproducible analytic workflows; implement version control, testing, and validation.
• Present results to clients; interact with clients to clarify needs and provide recommendations.
• Mentor early career staff; contribute to proposals and business development.
• Perform other duties as assigned.

Skills

Data visualization

Sampling

Weights

Variance estimation

Data pipelines

AI/ML applications

R programming

Python programming

SAS programming

Tableau

Power BI

MS Office

Education

Master's degree in statistics

Ph.D. preferred

Tools

R

Python

SAS

Tableau

Power BI

MS Office

Job description

NORC at the University of Chicago is seeking a Statistician III to join the Statistics and Data Science department. This hybrid role is based in Chicago or Washington, DC, and involves cross-project collaboration, applying advanced statistics, survey methodology, and ML/AI to deliver trustworthy data and insights.

Responsibilities include mentoring staff, presenting results to clients, contributing to proposals, and ensuring data privacy and reproducible analytics across the data lifecycle. U.S.