Solace
Data Scientist
United States
Sponsorship not specifiedDetected 161 days ago
PythonAlgorithmsSQLSnowflakeDockerMachine Learningscikit-learnPandasNumPyAirflowdbtData ScienceNLPStatisticsA/B TestingForecastingValuationHIPAAHealth LiteracyCommunication
About the role
- At Solace, data isn't just about understanding the past
- We are a rapidly scaling startup where we work hard, move fast, and wear many hats.
- Whether you are forecasting operational volume, modeling patient risk, or designing rigorous A/B tests, you will bridge the gap between advanced statistics and practical business application, ensuring our models are robust, interpretable, and impactful.
Responsibilities
- Drive Forecasting Rigor: Own the development of time-series forecasts that guide our capacity planning and resource allocation. You will help us anticipate "what comes next" with higher accuracy.
- Design & Analyze Experiments: Lead the design and analysis of A/B tests and causal inference studies. You will ensure we measure the true impact of our product and operational changes.
- Own the development of time-series forecasts that guide our capacity planning and resource allocation.
- Lead the design and analysis of A/B tests and causal inference studies.
- In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business.
Requirements
- 3+ Years of Experience within data science.
- Statistical Expertise: You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting).
- Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy).
- Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
- You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis.
- Startup DNA: You are a self-starter who is comfortable with ambiguity.
- Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production.
- Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces.
- You have a strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting).
- Python & ML Proficiency: You are fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). You write clean, reproducible code.
- Advanced SQL: You can write complex queries to wrangle your own data from Snowflake without relying solely on others to prepare it for you.
- Data Privacy Awareness: You understand the importance of protecting patient data. You are familiar with best practices for handling PHI and PII and ensuring privacy in your analysis.
- Startup DNA: You are a self-starter who is comfortable with ambiguity. You take ownership of problems and are willing to wear many hats to get the job done.
- Healthcare Experience: Experience working with healthcare or insurance claims data is a plus.
- NLP & Unstructured Data: Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data.
- dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data.
Nice to have
- Data Science, Applied Science, or related fields.
- Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields.
Skills
- Comfort reading or writing dbt models to understand the lineage of your data.
- Applicants must be based in the United States.
- Up for the Challenge?
- Fraudulent Recruitment Advisory: Solace Health will NEVER request bank details or offer employment without an interview.
- All legitimate communications come from official solace.health emails only or ashbyhq.com http://ashbyhq.com.
- Report suspicious activity to recruiting@solace.health or advocate@solace.health.
- Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production.
Benefits
- 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 here to redefine healthcare-and that demands urgency, precision, and heart.
- Solace Health will NEVER request bank details or offer employment without an interview.
- Build Predictive Models: Develop and refine machine learning models to solve critical business problems, such as predicting patient churn, estimating operational volume, or scoring advocate quality.
Company info
- it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats.
- We're a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP.
This listing is sourced directly from Solace's careers page and normalized into a canonical job model.