Solace Health
Data Scientist
$160K–$200K
United States · Remote · Full-time · Posted Nov 2, 2026
- Education
- Preferred Master’s degree or PhD in Data Science, Applied Science, or a related field.
About the job
Build predictive and forecasting models, design experiments, and translate statistical analysis into decisions that improve patient support and business operations.
What you'll do
- Develop machine-learning models and time-series forecasts for patient churn, operational volume, advocate quality, and capacity planning.
- Design and analyze A/B tests and causal inference studies, applying advanced statistical methods to complex datasets.
- Partner with Data Engineers to productionize models and communicate findings to non-technical stakeholders.
What they ask for
- Strong background in statistics, probability, and mathematics, including hypothesis testing, regression, or time-series forecasting.
- Fluency in Python and data science libraries including pandas, scikit-learn, statsmodels, and NumPy.
- Hands-on experience with time-series analysis and forecasting techniques.
- Advanced SQL skills, including querying Snowflake; familiarity with PHI/PII privacy practices.
Nice to have
- Master’s degree or PhD in Data Science, Applied Science, or a related field.
- Experience deploying models with Docker, Airflow, or MLflow; healthcare or insurance data; NLP; marketplace matching; or dbt.
Pay
USD 160K – 200K base salary
Tools
Python, pandas, scikit-learn, statsmodels, NumPy, ARIMA, Prophet, Snowflake
AI focus
Machine learning for prediction, forecasting, patient risk, and operational decision-making.
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