160K–200K USD / year
Data Scientist
DataRemote — United States
Published on 2026-10-05
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About this role
Build forecasting and machine-learning solutions to help Solace anticipate patient needs and improve operations. The role also leads experiments and causal analyses, and partners with data engineers to productionize models.
About the company
Solace Health pairs patients with expert healthcare advocates and tools that help them navigate insurance, care decisions, and the complexity of the U.S. healthcare system.
The team
Data Team, reporting to the VP of Data.
Stack
Pythonpandasscikit-learnstatsmodelsNumPySQLSnowflakeARIMA
What you'll do
- Develop predictive models for patient churn, operational volume, and advocate quality.
- Build time-series forecasts for capacity planning and resource allocation.
- Design and analyze A/B tests and causal inference studies.
- Apply statistical methods to uncover patterns and explain business outcomes.
- Collaborate with data engineers to deploy reliable production models.
- Communicate statistical findings clearly to non-technical stakeholders.
What we're looking for
- Strong foundation in statistics, probability, and mathematics.
- Fluency in Python and its data science ecosystem; write clean, reproducible code.
- Hands-on experience with time-series analysis and forecasting.
- Advanced SQL skills, including querying Snowflake.
- Understanding of PHI and PII privacy practices.
- Comfort with ambiguity, ownership, and a fast-paced startup environment.
Nice to have
- Master’s or PhD in Data Science, Applied Science, or a related field.
- Experience deploying and monitoring models with Docker, Airflow, or MLflow.
- Healthcare or insurance claims data experience.
- NLP experience with unstructured text.
- Experience with marketplace matching or ranking systems.
- Ability to read or write dbt models.