Note: The job is a remote job and is open to candidates in USA. Mathematica is hiring a Data Scientist to develop and apply data-driven methods to answer policy questions, with a focus on healthcare. The role contributes across the data science project lifecycle, including analysis, data pipelines, modeling, documentation, and communication of results to clients and teams.
Responsibilities
- Conducting causal, predictive, and descriptive analyses
- Writing and maintaining programming systems in languages such as Python and R to build and evaluate models
- Developing reliable data pipelines to obtain, combine, and transform datasets on cloud, internal, and client servers
- Communicating technical results to diverse stakeholders including clients and cross-functional teams
- 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
Skills
- Master's degree in a technical field such as statistics, econometrics, 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 in academic and/or professional settings
- Experience applying generative AI programmatically to extract insights from unstructured data, construct new features for analysis, or as a part of a larger systematic analysis
- Experience executing causal, predictive, and descriptive data science and statistics techniques including regression modeling, machine learning algorithms, network analysis, or natural language processing
- 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 increasing personal efficiency by incorporating AI into the code development process
- Ability and desire to work independently and take initiative as part of an interdisciplinary team that may be geographically dispersed. This includes being able to learn from resources such as academic articles, white papers, self-guided tutorials, and package documentation and willingness to constantly learn and contribute to knowledge sharing with team members
- Experience with reproducible research principles, version control, interactive visualizations, and common packages/libraries for supporting data science work in R, Python, and/or Julia (e.g., tidyverse, data.table, R Shiny, R Markdown, pandas, polars, NumPy, scikit-learn, MLJ.jl, DataFrames.jl, and/or Makie.jl)
- The ideal candidate for this open Data Science position has a strong interest in applying their skills to healthcare and a strong statistical background in causal inference and supporting methodologies such as imputation, matching, weighting, regression, quasi-experimental methods, and synthetic-comparison methods, among others
- Our healthcare-focused data scientists strongly benefit from additional knowledge of SQL or Scala, experience with big data analysis platforms such as Databricks or Snowflake, and familiarity with healthcare datasets such as Medicare or Medicaid claims and enrollment data and electronic medical records
- Production-quality machine learning applications, cloud computing environments (e.g. AWS), and algorithmic fairness and ethics
Benefits
- Financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength.
- This position will work remotely or flexibly in one of our office locations.
- Coworking spaces where available for employees who are not located near an office and would like opportunities to meet up with co-workers.
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