On-call Data Scientist

Position Description:

Mathematica is a nationally recognized research organization that conducts social policy studies on health care, disability, education, welfare, nutrition, and related topics. Our mission is to improve public well-being by bringing the highest standards of quality, objectivity, and excellence to bear on the work we do for our clients, which include federal, state, and local government agencies, as well as private foundations.

At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.

We are looking for an on-call data scientist to support data processing and analysis tasks, such as building data pipelines, monitoring data quality, developing documentation, applying statistical and data science methods, and creating data visualizations. The on-call data scientist will team with and support a data scientist in project to gain insight into Mathematica’s health policy work and how data supports it. Our data scientists underpin our company's core offerings in health policy program improvement and program assessment, which yield crucial evidence and information for policy and decision makers.

Specifically, our data scientists contribute to cross-disciplinary team-based projects by:

• Co-developing analysis plans with researchers and other data science colleagues
• Writing and maintaining production-level programming systems to obtain, combine, transform, store, and analyze datasets on cloud, internal, and client servers
• Developing and maintaining documentation
• Implementing reproducible research and quality assurance practices, such as environment management, version control, and testing
• Conducting analysis and communicating results, both to internal teams and clients, such as descriptive statistics, data visualizations, and model diagnostics

Position Requirements:

Requirements for the candidate:

• Master’s degree and above with an academic record including courses in subjects 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 programming and data science and/or statistics to contribute to projects with a policy/social impact in academic and/or professional settings.
• At least five years of experience performing data cleaning, analysis and or predictive modeling using programming languages such as R, Python, or Julia in the academic, extra-curricular, or professional environment.
• Experience executing data science and statistics techniques in solving health policy, medical related problems. Demonstrated expertise in machine learning and/or natural language processing techniques.
• Ability to take an ambiguous or open-ended question, dig deep into the problem and available resources, propose rigorous methods, use data to draw insights, and convey results and findings to a wide range of audiences.
• Ability and desire to work independently as part of an interdisciplinary team that may be geographically dispersed. This includes being able to learn resources such as self-guided tutorials, package documentation, and academic articles and willingness to constantly learn and contribute to knowledge sharing with team members.
• Experience with reproducible research principles, version control, interactive visualizations, and data science packages and libraries in at least one language:
  • R packages such as Tidyverse, R Shiny, and/or R Markdown
  • Python packages such as NumPy, pandas, and/or scikit-learn
• Nice to have: experience with healthcare datasets (for example, Medicare or Medicaid claims and enrollment data), SQL, Deep Learning models, product/tool development skills, production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics

The hourly rate for this on-call Data Scientist position has a range bewteen $35-45 per hour

To apply, please submit a cover letter, resume, location preference, and a code sample (or multiple), in one of the following languages: Python, R (can be provided in a file attachment or GitHub repository link).

We are not working with outside agencies to fill this position.

In accordance with Executive Order 14042 and its implementing guidelines, all Mathematica employees must provide documentation that they have been fully vaccinated or obtain an accommodation through Human Resources by providing documentation from a licensed health care provider that they are unable to be vaccinated against COVID-19 because of a disability (which would include medical conditions) or provide an attestation that they are entitled to an accommodation because of a sincerely held religious belief, practice, or observance.

Available Locations: Princeton, NJ, Washington, DC, Remote

#LI-AR1