Staff Data Scientist, Forecasting

Job Location:

San Francisco, CA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

What youll do

Be the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g. monthly active users) delivering accurate interpretable forecasts at scale.
Lead the full modeling lifecycle end to end: problem framing feature engineering model development and prototyping experimentation and backtesting deployment monitoring/drift detection and explainability.
Set the forecasting technical vision. Define model architectures and standards and partner with Engineering to shape the forecasting platform for efficient training/inference today and the scalability needed for the next generation of models.
Translate forecasts into decisions. Present outputs scenario analyses and recommendation frameworks to senior leadership with clarity and brevity. This is a highvisibility role with regular VP-level exposure.
Drive broader timeseries impact beyond point forecastse.g. anomaly detection automated rootcause analysis campaign/channel attribution and earlywarning signals for business health.
Embed forecasting into the business. Partner with BizOps/Finance and product teams to integrate forecasts and insights into operational rhythms executive decision-making and strategic planning.
Lead and mentor. Guide the work of at least two data scientists raising the bar on technical quality execution and impact through candid continuous feedback and coaching.

What were looking for

8 years of combined post-graduate academic and industry experience building and shipping production timeseries/forecasting models with webscale data.
A track record of delivering adjustable wellcalibrated and explainable forecasting systems that informing decision-making.
Strong background in timeseries modeling and applied statistics/econometrics; advanced degree (MS or PhD) preferred.
Expertise in at least one scripting language (ideally Python).
Strong SQL skills (Hive/Presto/Spark SQL) and experience building reliable data pipelines/workflows (e.g. Airflow).
Business acumen and ownership mindsetable to simplify complex problems connect model outputs to business levers and prioritize for impact.
Excellent communication skillsable to distill complex analyses and uncertainty into concise narratives for executive audiences.
Proven technical leadershipsuccess leading critical projects and materially influencing the scope and output of other contributors.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means were not always working in an office but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

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Required Experience:

Staff IC

What youll doBe the technical lead for the forecasting team. Own the strategy and implementation of forecasting models of key company metrics (e.g. monthly active users) delivering accurate interpretable forecasts at scale.Lead the full modeling lifecycle end to end: problem framing feature engineer...