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Solace is a Series C healthcare startup (founded 2022, $1B valuation) that pairs patients with expert advocates and tools to navigate the complex U.S. healthcare system. The company is backed by top-tier VCs including Inspired Capital, Craft Ventures, and Menlo Ventures.
You will join the Data Team as a Data Scientist reporting directly to the VP of Data. This is a high-impact role focused on building predictive models and forecasting systems that drive strategic decision-making across the organization.
Key responsibilities:
- Develop and refine machine learning models to solve critical business problems, including predicting patient churn, estimating operational volume, and scoring advocate quality
- Own time-series forecasting to guide capacity planning and resource allocation
- Lead the design and analysis of A/B tests and causal inference studies to measure product and operational impact
- Apply advanced statistical methods to uncover patterns in complex datasets
- Productionize models by working with Data Engineers to move solutions from notebooks to production environments
- Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders
The role demands someone who can bridge advanced statistics with practical business application, ensuring models are robust, interpretable, and impactful. You will work in a lean, mission-driven, fast-moving environment where you wear many hats and take ownership of problems.
REQUIREMENTS:
- Strong background in statistics, probability, and mathematics (hypothesis testing, regression analysis, time-series forecasting)
- Fluent in Python and data science ecosystem (pandas, scikit-learn, statsmodels, NumPy); write clean, reproducible code
- Hands-on experience with time-series analysis and forecasting techniques (ARIMA, Prophet, exponential smoothing)
- Advanced SQL skills; ability to write complex queries in Snowflake without relying solely on others to prepare data
- Preferred: Master's degree or PhD in Data Science, Applied Science, or related field
- Understanding of data privacy best practices for handling PHI and PII
- Self-starter comfortable with ambiguity; willing to wear many hats
BONUS:
- Deployment experience with Docker, Airflow, or MLflow
- Healthcare or insurance claims data experience
- NLP and unstructured data analysis skills
- Marketplace matching or ranking algorithm design experience
- Familiarity with dbt models and data lineage
Applicants must be based in the United States.
