Staff Data Scientist, Forecasting – Finance
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.
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• 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.
Apply tot his job
Apply To this Job