Senior Data Scientist - Remote Eligible (Health Division)
Job description
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. Mathematica offers our employees competitive salaries, and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company’s growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength. Learn more about our benefits here.
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 a Senior Data Scientist to join Mathematica’s award-winning health data science team. This position will contribute to the ideation, design, and development of data science and analytics products supporting consulting in federal, state, and health-focused commercial digital markets. This position will either work remotely or flexibly in one of our office locations.
The Senior Data Scientist will:
- Understand clients’ analytics and data science needs, including developing and deploying complex models using health quality measures and indicators, conducting comparative analyses to assess policy effectiveness, predicting policy implications, or gaining insight using claims data, electronica health record data, and text data, among others.
- Develop product-based approaches to meet those needs
- Assist in bringing those product-based approaches to market
- Work on multi-disciplinary teams, communicate data science findings with project leads and/or clients, oversee and mentor junior data scientists
Senior Data Scientists contribute throughout the course of projects and proposals on tasks such as:
- Co-designing with clients to develop data science solutions and products using their deep methodological and data knowledge to answer clients’ questions
- Designing, planning, and overseeing the data science workflow on tasks and projects, involving descriptive statistics, machine learning or statistical analysis, data visualizations
- Developing and implementing systems to ingest, process, and manage datasets
- Working closely with project managers and product managers to oversee the entire data science product lifecycle
- Communicating results to collaborative project teams using data visualizations and presentations using tools such as Markdown (e.g., R Markdown), notebooks (e.g., Jupyter notebook or Databricks), or interactive visualizations (e.g., R Shiny or Dash).
- Developing and maintaining documentation using Atlassian Confluence and Jira
- Implementing quality assurance practices such as version control (e.g., GitHub) and testing
- Leading or supporting proposal sections or other business development activities
Position Requirements:
Requirements:
- Experience applying data science and statistics to social impact projects in academic, extra-curricular, and/or professional settings
- Experience developing data science products (such as web applications, dashboards, well-maintained predictive models) to convey data insights
- Experience linking multiple data sources to enrich analyses and address new research questions
- Experience in how software applications/data pipelines are designed/implemented under data analytic and technology solutions to facilitate access and exchange of data.
- Methodological experience in data science and statistical techniques including supervised and unsupervised machine learning, and causal inference.
- An academic record including courses in subjects such as statistics, data science, math, computer science, and/or computational social science, and the following credentials: PhD, or 3+ years of experience in a social policy field plus Master’s or immersive bootcamp
- Mastery of R, Python, or Julia to manipulate data, conduct analyses, and create data visualizations
- Ability and desire to work independently as part of remote, interdisciplinary teams
- Ability to version code using Git
Nice to haves:
- Experience working with commercial health care data or as a data scientist in a commercial health care organization is a plus, preferably commercial payors, providers, life sciences, or a medical device/product company
- Experience with geospatial data and analyses, especially with environmental, remote sensing, and/or climate data
- Experience with natural language processing
- Experience with healthcare datasets, including Medicare and Medicaid claims and enrollment data, electronic health records, and FHIR standards
- Experience with working with large datasets using Spark/Hadoop/Amazon Redshift
- Experience with the acquisition of a broad array of datasets to fuel effective machine learning algorithms
This position offers an anticipated annual base salary range of $100,000 - $130,000. This position is eligible for a discretionary bonus based on company and individual performance.
To apply, please submit a cover letter, resume or CV, remote or office preference, salary expectations, 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).
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).
Various federal agencies with whom we contract require that staff successfully undergo a background investigation or 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. You must be able to pass a public trust background investigation. We are not working with outside agencies to fill this position.
Available Locations: Remote; Princeton, NJ; Washington, DC
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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.
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