Solace
Data Scientist Manager
United States
Sponsorship not specifiedDetected 8 days ago
PythonAlgorithmsCode ReviewSQLDockerCI/CDRESTMachine LearningdbtData ScienceMLOpsStatisticsA/B TestingForecastingValuationHealth LiteracyLeadershipCommunicationMentoring
About the role
- At Solace, data isn't just about understanding the past
- it's about predicting the future and running the systems that operate our marketplace in real time.
- Reporting to the VP of Data, you will be the connective tissue between Data Science and the rest of the business, working closely with Engineering, Analytics, Product, Marketing, and Operations to prioritize what the team works on and see it through to impact.
Responsibilities
- Coach and Develop the Team: Manage and mentor data scientists, giving them the feedback and growth opportunities to build stronger judgment and take on more ownership.
- Own the Roadmap: Set and drive execution of the Data Science roadmap, acting as the intake point for cross-functional requests and making deliberate prioritization decisions.
- Build Cross-Functional Relationships: Partner closely with leaders to ensure that data science is embedded in how decisions get made, not layered on after the fact.
- Drive Marketplace Forecasting: Own the forecasts and targets that keep advocate capacity, funnel volume, and supply and demand aligned, giving the business clear numbers to plan and hire against.
- Establish Best Practices: Set the standard for how data science gets done at Solace, including code review, experimentation design, model validation, and monitoring.
- you need to be credible enough with your team to go deep, not just manage from above.
- Set and drive execution of the Data Science roadmap, acting as the intake point for cross-functional requests and making deliberate prioritization decisions.
- Partner closely with leaders to ensure that data science is embedded in how decisions get made, not layered on after the fact.
- Own the forecasts and targets that keep advocate capacity, funnel volume, and supply and demand aligned, giving the business clear numbers to plan and hire against.
- Fluent in Python, its data science ecosystem, and the advanced SQL needed to pull your own data from Snowflake.
Requirements
- 2+ Years of Management or Leadership Experience: Direct experience managing, mentoring, or leading data scientists or a similar technical team.
- You can read, debug, and meaningfully critique your team's code and models.
- Production ML Experience: You have taken models from notebook to production, with experience monitoring, detecting drift, and iterating on models running live.
- Statistical & Forecasting Expertise: Strong background in statistics and time-series forecasting (e.g., ARIMA, Prophet).
- Experimentation Rigor: Strong grounding in A/B testing and causal inference, with a track record of designing experiments that produce trustworthy results.
- Marketplace Matching Experience: Experience designing matching algorithms or ranking systems for multi-sided marketplaces.
- MLOps Tooling: Experience packaging, deploying, and monitoring models in production, including containerization (Docker), experiment tracking and model registries (e.g. MLflow, SageMaker), and CI/CD for model deployment.
- 6+ Years of Data Science Experience: Proven track record building and shipping predictive models and machine learning systems, ideally at a product-led tech startup or marketplace.
- Deep Python, ML & SQL Fluency: Fluent in Python, its data science ecosystem, and the advanced SQL needed to pull your own data from Snowflake. You can read, debug, and meaningfully critique your team's code and models.
- Exceptional Communication: You can translate complex modeling work into clear narratives for non-technical executives and cross-functional partners.
- Startup DNA: You thrive in ambiguity, move with urgency, and are comfortable wearing multiple hats.
- Bonus Points
- Healthcare Experience: Experience working with healthcare or insurance claims data.
- dbt & Engineering Skills: Comfort reading or writing dbt models to understand data lineage.
Skills
- Comfort reading or writing dbt models to understand data lineage.
- Advanced Degree: Master's or PhD in Data Science, Statistics, Applied Math, or a related field.
- 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.
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.
- Own Production ML Systems: Own the machine learning models that run inside our core product, including matching and quality scoring, from prototype through production.
- predictive analytics that keeps the business ahead of its own growth, and the production machine learning that powers our core product.
Company info
- Manage and mentor data scientists, giving them the feedback and growth opportunities to build stronger judgment and take on more ownership.
- 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.