[Hiring] Data Scientist @Solace

Role Description

At Solace, data isn't just about understanding the past; it's about predicting the future. We are a rapidly scaling startup where we work hard, move fast, and wear many hats.

The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate patient needs and optimize our operations. Reporting directly to the VP of Data, you will have the opportunity to lead high-impact projects that directly influence our strategic decision-making.

In this role, you will go beyond descriptive analytics to build the predictive engines that drive our business. 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.

What You’ll Do

• 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.
• 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.
• Uncover Deep Insights: Apply advanced statistical methods to complex datasets to find patterns that simple reporting might miss. You will answer the "why" and "how" behind our most difficult questions.
• Productionize Solutions: Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure.
• Communicate Complexity: Translate complex statistical findings into clear, actionable narratives for non-technical stakeholders. You will be the voice of statistical reason in strategic discussions.

Qualifications

• Strong background in statistics, probability, and mathematics (e.g., hypothesis testing, regression analysis, time-series forecasting).
• Fluent in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy). Writes clean, reproducible code.
• Hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing).
• Ability to write complex SQL queries to wrangle data from Snowflake.
• Preferred Masters Degree or PhD in Data Science, Applied Science, or related fields.
• Understanding of data privacy and best practices for handling PHI and PII.
• Self-starter comfortable with ambiguity; takes ownership of problems.

Bonus Points

• Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production.
• Experience working with healthcare or insurance claims data.
• Experience applying Natural Language Processing (NLP) techniques to extract insights from unstructured text data.
• Experience designing matching algorithms or ranking systems for two-sided marketplaces.
• Comfort reading or writing dbt models to understand the lineage of your data.

Requirements

• Applicants must be based in the United States.

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