Job Description
Job Description
Day to Day Summary
In this experienced data science role, you'll tackle a wide range of projects focused on closing health gaps for vulnerable populations, such as improving medication adherence, increasing preventative screenings, and supporting members with chronic conditions in a holistic way. Your day-to-day will involve exploratory data analysis, descriptive analytics, and advanced predictive modeling, as well as designing and measuring experiments like A/B tests. You'll collaborate closely with cross-functional teams, help identify and overcome project blockers, and may occasionally "quarterback" efforts to align stakeholders and move projects forward. Strong communication skills are essential, as you'll regularly interface with non-technical partners to clarify needs and translate business problems into actionable analytics. Flexibility and adaptability are key, as project scopes and analytic maturity can vary. Experience managing projects is a plus, but the primary focus is hands-on technical support for a busy, collaborative team.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
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Skills and Requirements
Must Haves
Masters Degree within Computer or Data Science (or similar)
Healthcare experience strongly preferred
6yrs+ (Masters) OR 2yrs+ (PhD) Data Scientist experience
Experience leveraging cloud technologies for model creation, training, deployment, etc (GCP/Azure/AWS)
Strong communication skills
Proven ability to build regression models and advanced machine learning models (e.g., decision trees, predictive models, segmentation models).
Experience designing and executing A/B tests, hypothesis testing, and experimental designs.
Skilled in campaign program design, including statistical measurement and analysis.
Capable of both building and deploying models; deployment experience is preferred but not strictly required (support available from Data Engineering team if needed).
Strong understanding of statistical testing and measurement methodologies.
Ability to work with various types of segmentation models.
Comfortable collaborating with cross-functional teams, including data engineering and analytics. Plusses
Expertise within GCP (they use BigQuery heavily on this team)
Project Management experience/abilities
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