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Data Scientist Intern / Senior Data Scientist Intern

Job ID 2089

Position Description:

Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.

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 undergraduate & masters-level Data Scientist interns and PhD-level Data Scientist interns 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 during a 10-week internship program, starting June 3 and ending August 9.

Data Science interns will be paired with a mentor during their internship 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. 

This position focuses on health policy, which includes projects such as:

  • Monitoring the impacts of an alternative payment model for primary care in terms of care quality, cost, and health outcomes for diverse beneficiaries, using claims from millions of beneficiaries across the country and predicting future hospital costs and utilization.
  • Developing and testing how claims and survey data from federal and state-level programs could be used to measure patients’ experience of care, quality of life, care coordination, and long-term outcomes for beneficiaries enrolled in both Medicare and Medicaid.
  • Creating an interactive data visualization tool to help local policy and decision makers understand how social determinants of health are related to health outcomes in their county, using open-source data from public agencies and non-profits.
  • Building products/tools that integrate a suite of classic and novel methodologies used in Mathematica's projects, e.g., matching/weighting methods for impact analysis, measure reliability/validity testing.

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:

For undergraduate & Masters-level data Scientist interns:

  • Currently enrolled in or recently completed a master’s program, or bootcamp, 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 two years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia in the academic, extra-curricular, or professional environment.
  • Experience executing data science and statistics techniques including machine learning algorithms.
  • 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:      
                        o R packages such as tidyverse, R Shiny, and/or R Markdown
                        o Python packages such as numpy, pandas, and/or scikit-learn
                        o Julia packages such as DataFrames and/or MixedModels
  • Nice to have: experience with healthcare datasets (for example, Medicare or Medicaid claims and enrollment data), SQL, Natural Language Processing, product/tool development skills, production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics

For PhD-level data Scientist interns:

  • Currently enrolled in or recently completed a PhD program 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.
  • At least three years of experience performing data cleaning and analysis using programming languages such as R, Python, or Julia in the academic, extra-curricular, or professional environment.
  • Experience executing programming, data science, and statistics techniques to contribute to projects with a policy/social impact in academic and/or professional setting.
  • Ability to take an ambiguous question, 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, with minimal guidance, 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.
  • Demonstrated expertise in one of the following methodological areas: machine learning, agent-based modeling, natural language processing, causal inference, or Bayesian statistics.
  • Experience with reproducible research principles, version control, interactive visualizations, and data science packages and libraries in at least one language:
                        o R packages such as tidyverse, R Shiny, and/or R Markdown
                        o Python packages such as numpy, pandas, and/or scikit-learn
                        o Julia packages such as DataFrames and/or MixedModels
  • Nice to have: experience with healthcare datasets (for example, Medicare or Medicaid claims and enrollment data), SQL, product/tool development skills, production-quality machine learning applications, cloud computing environments, and algorithmic fairness and ethics

The hourly rates for the intern positions include:

  • $23 per hour for Freshman, Sophomore, or between Sophomore and Junior years
  • $24 for Junior year or later
  • $25 for students in their first year of Masters or between first and second year
  • $26 for students in their second year of Masters or later

To apply, please submit a cover letter, resume, location preference, and a code sample (or multiple), in one of the following languages: Python, R, Julia (can be provided in a file attachment or GitHub repository link). Applications will be reviewed on a rolling basis until February 23, 2024.

Note to agencies: We are not working with staffing agencies to fill this position, and we will not accept unsolicited resumes. Please do not reach out directly to technical staff or leaders within Mathematica, as all questions from agencies go through the Talent Acquisition team.

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

#LI-AR1

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

At Mathematica, we understand the importance of building relationships with colleagues. If you’re not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it’s an option in your area.

Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in/complete the application process and are denied, Mathematica may choose to terminate your employment.

Although Mathematica does not require vaccination from COVID-19 as a condition of employment, various projects or agencies may require documentation of vaccination (or an approved exception/accommodation).

We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high quality work.

One of Mathematica’s core values is a deep commitment to diversity, equity, and inclusion. Our work is more robust because it is informed by a variety of diverse perspectives, and our mission to improve societal well-being is strengthened by a greater understanding of issues and challenges facing the populations we serve. Mathematica’s ongoing commitment to diversity and inclusion is woven into our everyday actions, policies, and practices—including decisions regarding recruitment, training, compensation, and promotion. We are dedicated to maintaining a work environment in which everyone is treated with respect and dignity.

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