Note: The job is a remote job and is open to candidates in USA. Solace is a U.S. healthcare startup that pairs patients with expert advocates and provides tools to improve healthcare decisions and outcomes. The Data Scientist will develop forecasting, predictive modeling, experimentation, and statistical solutions to anticipate patient needs, optimize operations, and support strategic decision-making. The role also involves productionizing models and communicating complex findings to non-technical stakeholders.
Responsibilities
- 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
Skills
- 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)
- You write clean, reproducible code
- Forecasting Experience: You have hands-on experience with time-series analysis and forecasting techniques (e.g., ARIMA, Prophet, exponential smoothing)
- 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
- Applicants must be based in the United States
- Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields
- Deployment Experience: Experience using tools like Docker, Airflow, or MLflow to deploy and monitor models in production
- 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
- Marketplace Matching: Experience designing matching algorithms or ranking systems for two-sided marketplaces
- Dbt & Engineering Skills: Comfort reading or writing dbt models to understand the lineage of your data
Benefits
- Offers Equity
- Remote work arrangement
Company Overview
Company H1B Sponsorship