Omada Health
Staff Forecasting Data Scientist
Remote, USA · Staff+
Sponsorship not specified$202k-$253kDetected 5 days ago
PythonSQLRESTMachine Learningscikit-learnPandasNumPyData EngineeringData ScienceStatisticsSalesforceCRMPipeline ManagementForecastingSupply ChainCustomer SupportResearchLeadershipMentoringGeneralized Linear Models
About the role
- Omada Health is looking for a Staff Forecast Data Scientist to lead the technical development and automation of our enrollment forecasting capability.
- This role will build and scale forecasting models for our existing book of business, helping transform a historically manual, assumption-heavy process into a robust, production-oriented forecasting engine that improves forecast quality, consistency, and speed.
- Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics, this person will design, deploy, and monitor forecasting solutions that support critical planning and decision-making across the business.
Responsibilities
- Design, build, and automate Omada's core enrollment forecasting engine for the existing book of business, significantly reducing manual effort and increasing forecast reliability and reproducibility.
- Establish and own best practices for model development, backtesting, performance monitoring, and alerting for enrollment forecasts, helping Omada move from one-off analyses to a robust, production-grade forecasting capability.
- Comfort working with messy, real-world commercial data (CRM, marketing, product/event, and financial data) and building robust pipelines and features that can support recurring forecast runs.
- Demonstrated ability to translate ambiguous business questions into well-scoped technical problems, communicate tradeoffs clearly to non-technical stakeholders, and incorporate feedback into model and metric design.
- Proven experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including framing uncertainty, risk, and scenario ranges in an executive-friendly way.
- As we build together toward our mission, we strive to embody the following values in our day-to-day work.
- We ask to understand and we build connections.
Requirements
- Deep hands-on proficiency in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet or similar libraries) and SQL, with a track record of taking models from discovery through deployment and ongoing monitoring.
- Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting.
- High degree of ownership and bias toward action: willing to dive into data, prototypes, and code while also stepping back to design scalable systems and long-term improvements to forecasting capabilities.
Nice to have
- Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high‑growth, evolving, or public‑company environment.
Compensation
- Familiarity with Salesforce data models and RevOps processes (pipeline management, incentive compensation, territory / quota design).
Benefits
- Competitive salary with generous annual cash bonus
- Flexible Time Off to help you rest, recharge, and connect with loved ones
- Generous parental leave
- Health, dental, and vision insurance (and above market employer contributions)
- 401k retirement savings plan
- Mental Health Support Solutions
- It takes a village to change health care.
Company info
- Act Boldly. We innovate daily to solve problems, improve processes, and find new opportunities for our members and customers.
Visa & Work Authorization
- re committed to equal opportunity regardless of race, color, religion, sex, gender identity, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care st
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This listing is sourced directly from Omada Health's careers page and normalized into a canonical job model.