Data Scientist

Role Description

We are looking for a Data Scientist who will derive meaning from data through the creation and deployment of data-driven approaches to solve problems and answer important policy questions for clients. A Data Scientist owns data processing and analysis tasks and supports more senior level data science staff in implementing statistical, machine learning, generative AI, and other data science methods for use in research reports, internal systems, or client systems. Data Scientists will work on all aspects of the data science project life cycle, including:

• Understanding client needs
• Building data pipelines
• Monitoring data quality
• Developing documentation
• Creating visualizations
• Brainstorming modeling approaches
• Implementing models

This position will work remotely or flexibly in one of our office locations.

Example projects include:

• Build and evaluate generative AI tools to extract clinically important information from unstructured doctors’ notes.
• Evaluate and monitor the impacts of an alternative payment model for primary care.
• Analyze nationwide geographic access to food retailers.
• Use national survey data and grocery store purchase data to simulate realistic American diets.
• Build knowledge synthesis solutions for government and foundation clients.
• Develop and evaluate a reproducible benchmarking pipeline to compare state healthcare spending.
• Build and evaluate interpretable machine learning models to predict clinical care tiers.
• Partner with subject-matter experts to engineer clinically meaningful features.

Specifically, this Data Scientist contributes to team-based projects by:

• Conducting causal, predictive, and descriptive analyses
• Writing and maintaining programming systems in languages such as Python and R
• Developing reliable data pipelines to obtain, combine, and transform datasets
• Communicating technical results to diverse stakeholders
• Developing and maintaining technical and methodological documentation
• Co-developing analysis plans with a senior data scientist or researcher
• Leading and managing small teams and tasks with oversight from a more senior staff member

Qualifications

• Master’s degree in a technical field such as statistics, data science, data analytics, mathematics, operations research, computer science, and/or social science; equivalent years of experience can be substituted
• Demonstrated interest and/or experience using data science and/or statistics to contribute to projects with a policy/social impact
• Experience applying generative AI programmatically to extract insights from unstructured data
• Experience executing causal, predictive, and descriptive data science and statistics techniques
• At least three years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia
• Ability and desire to work independently and take initiative as part of an interdisciplinary team
• Experience with reproducible research principles, version control, interactive visualizations, and common packages/libraries for supporting data science work
• Desired but not required: experience with healthcare datasets, production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics

Requirements

• Anticipated annual base salary range of $70,000- $90,000
• To apply, please submit a cover letter (optional), resume, and salary expectations

Benefits

• Competitive salaries
• Comprehensive benefits package
• Employee stock ownership plan (ESOP)