Data Scientist
Solace · Remote · United States ·
COMPENSATION
$160k – $200k
Listed on the employer's job board (Ashby)
- Fully remote (US only)
- Python & SQL
- Time-series forecasting
- Healthcare domain
- Series C startup
Solace is a Series C startup aiming to simplify the U.S. healthcare system by pairing patients with expert advocates. The Data Team focuses on using advanced statistics and machine learning to anticipate patient needs and optimize operational efficiency.
You will report to the VP of Data and work on high-impact projects that bridge the gap between complex statistical methods and practical business applications. The team values urgency, precision, and the ability to translate data insights into actionable strategies.
What you'll do
- Develop machine learning models to predict patient churn and operational volume
- Own time-series forecasts to guide capacity planning and resource allocation
- Design and analyze A/B tests and causal inference studies for product changes
- Apply advanced statistical methods to uncover patterns in complex datasets
- Collaborate with Data Engineers to deploy models into production environments
- Translate statistical findings into clear narratives for non-technical stakeholders
What you'll need
- Strong background in statistics, probability, and mathematics
- Fluency in Python and libraries like pandas, scikit-learn, and NumPy
- Hands-on experience with time-series analysis and forecasting techniques
- Advanced SQL skills for wrangling data from Snowflake independently
- Understanding of data privacy best practices for PHI and PII
- Comfort with ambiguity and ability to take ownership in a startup setting
Nice to have
- Master’s degree or PhD in Data Science or related field
- Experience deploying models using Docker, Airflow, or MLflow
- Background in healthcare or insurance claims data
- Knowledge of NLP techniques for unstructured text data
- Experience designing matching algorithms for marketplaces
- Familiarity with dbt for understanding data lineage
Stack
- Python
- SQL
- Snowflake
- pandas
- scikit-learn
- statsmodels
- NumPy
- Docker
- Airflow
- MLflow
- dbt
How you'll work
- Fully remote within the United States
- Must be based in the U.S.