Job Description Role: Senior Data Scientist – Forecasting Product Organization: Enterprise Data Science The Senior Data Scientist – Forecasting Product focuses on building, improving, and operationalizing a core forecasting product, then supporting its rollout and adoption across multiple enterprise use cases.
This role emphasizes applied forecasting, analytical rigor, and collaboration to ensure forecasting solutions are reliable, trusted, and scalable in practice.
The role is hands-on and execution-focused, working closely with product owners, business partners, and downstream teams to ensure the forecasting product delivers consistent value as it expands across the enterprise.
Position Objectives Build and mature a core forecasting product that supports planning and decision-making Improve forecast quality, stability, and usability for real-world applications Support the rollout of the forecasting product across teams, domains, and use cases Leverage modern techniques, including LLMs where appropriate, to enhance forecast understanding and decision support Contribute to measurable business impact through forecasting improvements Key Responsibilities Forecasting Product Development Develop, test, and improve forecasting models using statistical, machine learning, and deep learning approaches Apply forecasting techniques to core product use cases (e.g., demand, volume, usage, financial, or capacity forecasting) Analyze forecast performance, bias, and stability across segments and time horizons Develop probabilistic forecasts and uncertainty estimates where appropriate Ensure forecasting outputs are reliable, interpretable, and suitable for repeated use Product Maturity Master's degree preferred in Statistics, Applied Mathematics, Operations Research, Computer Science, or a related quantitative field Demonstrated experience applying forecasting models to real business or operational problems Critical Skills