# Staff Data Scientist, Forecasting

**Company:** [Pinterest](https://hotfix.jobs/companies/pinterest)
**Location:** San Francisco, CA
**Role:** Data Science
**Salary:** $165k – $339k/yr
**Experience:** 8+ years
**Skills:** Python, SQL, Hive, Presto, Spark Sql, Airflow, Time Series Modeling, Forecasting, Applied Statistics, Econometrics
**Posted:** 2026-06-23

> Lead forecasting models for key company metrics, own the full modeling lifecycle, and translate outputs into executive decisions. Requires 8+ years building production time-series models at scale, strong Python/SQL skills, and proven technical leadership.

## Job Description

## What you’ll 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.
- Drive broader time‑series impact beyond point forecasts—e.g., anomaly detection, automated root‑cause analysis, campaign/channel attribution, and early‑warning 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 we’re looking for

- 8+ years of combined post-graduate academic and industry experience building and shipping production time‑series/forecasting models with web‑scale data.
- Bachelor’s degree in a relevant field such as Computer Science or equivalent experience.
- A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that inform decision-making.
- Strong background in time‑series 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 mindset—able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
- Excellent communication skills—able to distill complex analyses and uncertainty into concise narratives for executive audiences.
- Proven technical leadership—success leading critical projects and materially influencing the scope and output of other contributors.

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