Omada Health
Healthcare
StaffForecastingDataScientist
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“Staff Forecasting Data Scientist at Omada Health. Skills: Forecasting, Time-series modeling, Python, SQL. Lead technical development and automation of enrollment forecasting capability. Build and scale forecasting models”
What You'll Achieve.
Improve forecast quality, consistency, and speed; Support critical planning and decision-making; Significantly reducing manual effort; Increasing forecast reliability and reproducibility; Ensure models reflect real-world dynamics; Ensure models are usable in day-to-day decision making; Move from one-off analyses to a robust, production-grade forecasting capability; Improve forecast accuracy and responsiveness over time; Drive clarity through structure, process, and analytics
Industry & Context.
Translate ambiguous business questions into well-scoped technical problems; Solve problems; Improve processes
What They're Looking For.
Must Have
8+ years of experience in data science or applied statistics roles, at least 3 years focused on forecasting, time series modeling, or revenue/enrollment prediction, Deep hands-on proficiency in Python, SQL, statistical and machine learning methods for forecasting, Experience designing and maintaining production data science systems, Comfort working with messy, real-world commercial data
Nice to Have
Experience implementing or upgrading forecasting tools, analytical workflows, or data models in a high‑growth, evolving, or public‑company environment, Background in healthcare, digital health, health plans/PBMs, or other complex, regulated industries with multi‑stakeholder sales cycles, Prior work supporting capacity planning or operational forecasting alongside care delivery, supply chain, or customer support teams, Familiarity with Salesforce data models and RevOps processes, Passion for leveraging data, analytics, and emerging technologies
What You'll Do.
Lead technical development and automation of enrollment forecasting capability
Build and scale forecasting models
Transform manual process into robust forecasting engine
and monitor forecasting solutions
and automate enrollment forecasting engine
Increase forecast reliability
Translate commercial planning questions into solutions
Partner with Commercial Operations
Establish and own best practices for model development
Improve forecast accuracy and responsiveness
Experiment with new data sources
Act as primary technical leader for forecasting
Provide guidance on tooling
Mentor other data scientists
Take ownership of technical implementation of base forecasting
Collaborate on assumption framework and narrative
How You'll Work.
Team & Collaboration
Working closely with Commercial Operations, Finance, Data Engineering, and Applied Statistics; Partnering closely with Commercial Operations, Sales, Marketing, and Finance; In partnership with data engineering and platform teams; Communicate tradeoffs clearly to non-technical stakeholders; Proven experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance); Collaborating closely on the assumption framework and narrative
Communication Scope
Communicate tradeoffs clearly to non-technical stakeholders; Framing uncertainty, risk, and scenario ranges in an executive-friendly way
Full Job Description
Omada Health is on a mission to inspire and engage people in lifelong health, one step at a time. Job overview: 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. The ideal candidate combines strong technical depth in time-series and predictive modeling with the ability to operate in ambiguous business contexts, translate commercial questions into scalable analytical solutions, and provide technical leadership in how forecasting is built at Omada. Your Impact: 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. Translate commercial planning questions into scalable forecasting solutions, partnering closely with Commercial Operations, Sales, Marketing, and Finance to ensure the models reflect real-world dynamics and are usable in day-to-day decision making. 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. Improve forecast accuracy and responsiveness over time by continuously experimenting with new data sources, features, and modeling techniques, and systematically incorporating learnings from forecast performance. Act as the primary technical leader for forecasting
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