At a glance
- Employment
- Full-time
- Workplace
- Remote
- Location
- Remote
About Solace
- Healthcare in the U.S. is fundamentally broken. The system is so complex that 88% of U.S. adults do not have the health literacy necessary to navigate it without help. Solace cuts through the red tape of healthcare by pairing patients with expert advocates and giving them the tools to make better decisions—and get better outcomes.
- We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly.
- Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way.
- Read more in our Bloomberg funding announcement here https://www.bloomberg.com/news/articles/2026-02-10/vcs-give-solace-health-1-billion-valuation-for-patient-advocacy-tech?accessToken=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzb3VyY2UiOiJTdWJzY3JpYmVyR2lmdGVkQXJ0aWNsZSIsImlhdCI6MTc3MDczMDg4MywiZXhwIjoxNzcxMzM1NjgzLCJhcnRpY2xlSWQiOiJUQThVUzhLR0NURzEwMCIsImJjb25uZWN0SWQiOiJBRDYxODI0MTc0ODM0MTk0QTRENUZFNzkwMzNGMDJGNSJ9.TE2pFUAOQAPMUXFlzoQ7zeJvctq7cSibbZqtIwhW-2U&leadSource=uverify+wall.
About the role
- The Data Scientist will build predictive engines and forecasting models to anticipate patient needs and optimize operations at a rapidly scaling healthcare startup.
- Reporting to the VP of Data, this role involves leading high-impact projects that bridge advanced statistics with practical business applications.
- The position requires a hands-on approach to developing machine learning models and designing rigorous experiments to influence strategic decision-making.
Responsibilities
- Build and refine machine learning models to predict patient churn, estimate operational volume, and score advocate quality.
- Develop time-series forecasts to guide capacity planning and resource allocation.
- Lead the design and analysis of A/B tests and causal inference studies.
- Apply advanced statistical methods to complex datasets to uncover deep insights.
- Productionize solutions by working with Data Engineers to move models from notebooks to production environments.
- Translate complex statistical findings into actionable narratives for non-technical stakeholders.
Requirements
- Strong background in statistics, probability, and mathematics including hypothesis testing, regression analysis, and time-series forecasting.
- Fluency in Python and its data science ecosystem including pandas, scikit-learn, statsmodels, and NumPy.
- Hands-on experience with time-series analysis and forecasting techniques such as ARIMA, Prophet, or exponential smoothing.
- Advanced SQL skills for complex data wrangling from Snowflake.
- Understanding of data privacy best practices for handling PHI and PII.
- Ability to work in a startup environment with comfort in ambiguity and taking ownership of problems.
- Must be based in the United States.
Preferred qualifications
- Masters Degree or PhD in Data Science, Applied Science, or related fields.
- Experience using Docker, Airflow, or MLflow for model deployment and monitoring.
- Experience working with healthcare or insurance claims data.
- Experience applying Natural Language Processing (NLP) techniques to unstructured text data.
- Experience designing matching algorithms or ranking systems for two-sided marketplaces.
- Comfort reading or writing dbt models.
Workplace
- Applicants must be based in the United States.
Skills
- Python
- Pandas
- Scikit-learn
- Statsmodels
- NumPy
- SQL
- Snowflake
- ARIMA
- Prophet
- Docker
- Airflow
- MLflow
Show all 13 skills
- Dbt
