Job Description: • Own the design, operation, and evolution of end to end forecasting systems for revenue drivers, including data pipelines, model components, validation logic, and automated delivery into planning and financial workflows. • Select, adapt, and maintain forecasting approaches appropriate to each problem context, balancing accuracy, stability, interpretability, and operational cost rather than optimizing for modeling sophistication alone. • Engage in stakeholder management, effectively communicating with various teams and levels within the organization to gather input and share insights. • Drive the process of extracting actionable insights from complex data sets to influence business growth and strategic decision-making. • Continuously improve forecasting infrastructure and processes to reduce manual intervention, shorten cycle time, and increase trust in outputs. Requirements: • 9+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, statistics, machine learning, or 6+ years of relevant experience and a PhD in similar fields. • Extensive industry experience applying forecasting in production settings, with demonstrated ownership of forecasting pipelines or decision systems, not just standalone models. • Expertise in SQL and relational databases, along with strong fluency in programming languages such as R, Python, and Stan. • Experience building automated modeling workflows, including backtesting frameworks, model validation, scheduled retraining, and performance monitoring. • Familiarity with version control, reproducibility, and data quality practices required for operating models in regulated or high visibility financial contexts. • Comfort working across disciplines and making tradeoffs between statistical rigor, engineering complexity, and business constraints. Benefits: • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.