Staff Data Scientist, Forecasting

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Design, develop, and automate Omada’s primary enrollment forecasting engine for the current portfolio, significantly minimizing manual labor and enhancing the reliability and reproducibility of forecasts.

• Convert commercial planning inquiries into scalable forecasting solutions, collaborating closely with Commercial Operations, Sales, Marketing, and Finance to ensure that the models accurately represent real-world dynamics and are practical for daily decision-making.

• Establish and maintain best practices for model development, backtesting, performance monitoring, and alerting related to enrollment forecasts, facilitating Omada's transition from ad-hoc analyses to a comprehensive, production-grade forecasting system.

• Enhance forecast accuracy and responsiveness over time by consistently experimenting with new data sources, features, and modeling techniques, while systematically integrating insights gained from forecast performance.

• Serve as the primary technical leader for forecasting within the Data organization, offering guidance on tools, coding standards, and architecture, as well as mentoring other data scientists involved in forecasting initiatives.

• Enable Commercial Operations leadership to concentrate on product-line strategy and new go-to-market approaches by taking charge of the technical implementation of core forecasting, while closely collaborating on the assumptions framework and narrative.

⛳️ Requirements

• Over 8 years of experience in data science or applied statistics roles, with a minimum of 3 years dedicated to forecasting, time series modeling, or revenue/enrollment prediction in a SaaS, healthcare, or similar recurring-revenue sector.

• Extensive hands-on expertise in Python (e.g., pandas, numpy, scikit-learn, statsmodels, Prophet, or comparable libraries) and SQL, with a proven history of progressing models from discovery to deployment and ongoing monitoring.

• Solid foundation in statistical and machine learning techniques for forecasting (e.g., hierarchical or panel forecasting, gradient boosting, generalized linear models), along with a pragmatic understanding of when simpler models surpass more complex ones.

• Experience in designing and maintaining production data science systems in collaboration with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting.

• Ability to work with messy, real-world commercial data (CRM, marketing, product/event, and financial data) and build robust pipelines and features that support recurring forecast executions.

• Proven capability to transform ambiguous business inquiries into well-defined technical challenges, communicate trade-offs clearly to non-technical stakeholders, and integrate feedback into model and metric design.

• Demonstrated experience influencing cross-functional partners (e.g., Commercial Operations, Sales, Marketing, Finance) using data-driven insights, including effectively framing uncertainty, risk, and scenario ranges in an executive-friendly manner.

• High level of ownership and a proactive approach: eager to engage with data, prototypes, and code while also stepping back to design scalable systems and long-term enhancements to forecasting capabilities.

• Comfortable operating in a rapidly changing environment where go-to-market strategies, products, and partner needs evolve quickly, helping to drive clarity through structure, process, and analytics.

🏝️ Benefits

• Competitive salary with a generous annual cash bonus

• Equity grants

• Remote-first work-from-home culture

• Flexible Time Off to support your rest, recharge, and connection with loved ones

• Generous parental leave

• Health, dental, and vision insurance (with above-market employer contributions)

• 401k retirement savings plan

• Lifestyle Spending Account (LSA)

• Mental Health Support Solutions

• ...and more!