Staff Data Scientist, Forecasting

🕒 Maio 21

🏄 California, New York, +1 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote ☕ Washington – Remote

💵 $202.400 - $253.000 / ano

⏰ Tempo Integral

🔴 Especialista

📊 Cientista de Dados

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Omada Health

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2011

⚕️ Seguro de Saúde

🧘 Bem-estar

☁️ SaaS

💰 $192.000.000 Series E em 2022-02

Healthcare Insurance • Wellness • SaaS

A Omada Health é uma empresa de Virtual Care focada em ajudar pessoas a alcançar seus objetivos de saúde por meio de suporte e programas personalizados. A empresa oferece soluções abrangentes de gestão da saúde para condições como diabetes, hipertensão e saúde musculoesquelética. A Omada fornece coaching de saúde individual e dispositivos inteligentes para monitorar e melhorar a saúde, criando planos de cuidado personalizados para seus usuários. Seus programas são projetados para serem acessíveis sem custo para os participantes quando cobertos pelo empregador ou pelo plano de saúde, tornando a Omada uma líder na oferta de cuidados virtuais de qualidade que são ao mesmo tempo pessoais e sustentáveis.

Descrição

• 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 within the Data organization, providing guidance on tooling, coding standards, and architecture, and mentoring other data scientists who contribute to forecasting projects. • Free Commercial Operations leadership to focus on product-line strategy and new go-to-market motions by taking ownership of the technical implementation of base forecasting, while collaborating closely on the assumption framework and narrative.

🎯 Requisitos

• 8+ years of experience in data science or applied statistics roles, with at least 3 years focused on forecasting, time series modeling, or revenue/enrollment prediction in a SaaS, healthcare, or similar recurring-revenue business. • 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. • Strong grounding in statistical and machine learning methods for forecasting (e.g. hierarchical or panel forecasting, gradient boosting, generalized linear models), and a practical sense for when simple models outperform complex ones. • Experience designing and maintaining production data science systems in partnership with data engineering and platform teams, including versioning, backtesting, performance monitoring, and alerting. • 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. • 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. • Comfortable working in a fast‑changing environment where GTM motions, products, and partner needs evolve quickly, and where you help drive clarity through structure, process, and analytics.

🏖️ Benefícios

• Competitive salary with generous annual cash bonus • Equity grants • Remote first work from home culture • 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 • Lifestyle Spending Account (LSA) • Mental Health Support Solutions • ...and more!