Data Scientist
Solace · United States
- Hybrid
- Full-time
- $150,000 / year
- United States
Job highlights
- Build predictive models for business problems.
- Develop time-series forecasts for capacity planning.
- Design and analyze A/B tests for product changes.
- Apply advanced statistics to uncover insights.
- Productionize machine learning models.
About the role
About Solace
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 a Series C startup, founded in 2022 and backed by Inspired Capital, Craft Ventures, Torch Capital, Menlo Ventures, Signalfire, and IVP. Our U.S. based team is lean, mission-driven, and growing quickly.
Solace isn't a place to coast. We're here to redefine healthcare—and that demands urgency, precision, and heart. If you're looking to stretch yourself, sharpen your edge, and do the best work of your life alongside a team that cares deeply, you're in the right place. We’re intense, and we like it that way.
Read more in our Bloomberg funding announcement here.
About The Role
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.
What You Bring
- 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.
- Preferred Masters Degree or PHD: Data Science, Applied Science, or related fields.
- 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.
Bonus Points
- 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.
Applicants must be based in the United States.
Up for the Challenge?
We look forward to meeting you.
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. Report suspicious activity to recruiting@solace.health or advocate@solace.health.
Key skills/competency
- Data Scientist
- Machine Learning
- Forecasting
- Time-Series Analysis
- Python
- SQL
- A/B Testing
- Statistical Modeling
- Data Analysis
- Predictive Analytics
Skills & topics
- Data Scientist
- Machine Learning
- Forecasting
- Time Series Analysis
- Python
- SQL
- Statistics
- Predictive Modeling
- Healthcare
- Startup
How to get hired
- Tailor your resume: Highlight your experience in Python, machine learning, forecasting, and advanced SQL, aligning it with Solace's mission.
- Showcase your impact: Quantify your achievements in previous roles, demonstrating how you've driven business value through data science.
- Demonstrate startup DNA: Emphasize your self-starter attitude, comfort with ambiguity, and willingness to wear multiple hats.
- Prepare for technical questions: Be ready to discuss your statistical expertise, forecasting techniques, and experience with data privacy.
- Articulate your vision: Clearly communicate how your skills can help Solace redefine healthcare and anticipate patient needs.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the Data Scientist role at Solace?
- The Data Scientist role at Solace requires strong statistical expertise, proficiency in Python and its data science ecosystem (pandas, scikit-learn, statsmodels, NumPy), hands-on experience with time-series forecasting techniques (ARIMA, Prophet, exponential smoothing), and advanced SQL skills for data wrangling from Snowflake. Familiarity with data privacy best practices is also crucial.
- Does Solace offer remote work for Data Scientists?
- Solace is hiring for a Data Scientist role, and applicants must be based in the United States. While the job description doesn't explicitly state remote or hybrid, the focus on a US-based team suggests potential for remote work within the US, but this should be confirmed during the application process.
- What is the typical career progression for a Data Scientist at Solace?
- As a rapidly scaling Series C startup, Solace offers significant opportunities for growth. A Data Scientist reporting to the VP of Data can expect to lead high-impact projects, influence strategic decision-making, and potentially grow into more senior or specialized roles as the data team expands. The emphasis on 'wearing many hats' also means opportunities to broaden your skill set.
- How does Solace use data science to improve healthcare outcomes?
- Solace uses data science to cut through healthcare complexity by predicting patient needs, optimizing operations, forecasting volume, modeling patient risk, and designing experiments to measure the impact of product and operational changes. This enables better decision-making and improved outcomes for patients.
- What is the company culture like at Solace for a Data Scientist?
- Solace has an intense, mission-driven culture focused on redefining healthcare. They value urgency, precision, and heart. Team members are encouraged to stretch themselves, sharpen their edge, and do their best work. The environment is fast-paced, and employees are expected to be self-starters comfortable with ambiguity.
- What are the 'bonus points' for a Data Scientist at Solace?
- Bonus points for the Data Scientist role at Solace include deployment experience with tools like Docker, Airflow, or MLflow; prior experience in the healthcare industry; NLP and unstructured data analysis skills; experience with marketplace matching algorithms; and familiarity with dbt for data lineage.
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