Solace Health

Solace Health

Data Scientist

United States

Sponsorship not specifiedDetected 162 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.
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This listing is sourced directly from Solace Health's careers page and normalized into a canonical job model.