Data Scientist

The role

You will build predictive models, time-series forecasts, and design experiments to optimize operations. You will work on machine learning models to predict patient churn, operational volume, and advocate quality.

What you will do

• Develop and refine machine learning models to solve business problems.
• Own the development of time-series forecasts for capacity planning.
• Lead the design and analysis of A/B tests and causal inference studies.
• Apply advanced statistical methods to complex datasets.
• Work with Data Engineers to productionize models.
• Translate complex statistical findings into actionable narratives for non-technical stakeholders.

Required qualifications

• Strong background in statistics, probability, and mathematics.
• Fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy).
• Hands-on experience with time-series analysis and forecasting techniques.
• Advanced SQL skills to query data from Snowflake.
• Understanding of protecting patient data and best practices for handling PHI and PII.
• Self-starter comfortable with ambiguity.

Nice to have

• Masters Degree or PHD in Data Science, Applied Science, or related fields.
• Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models.
• Experience working with healthcare or insurance claims data.
• Experience applying Natural Language Processing (NLP) techniques.
• Experience designing matching algorithms or ranking systems for two-sided marketplaces.
• Comfort reading or writing dbt models.

About the company

Solace is a Series C startup founded in 2022 that pairs patients with expert advocates to navigate the healthcare system. The U.S. based team is lean and mission-driven.