P

Pinterest

Runs an app for finding and saving visual ideas

Staff Data Scientist - Forecasting

Data ScienceConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of combined post-graduate academic and industry experience building and shipping production time-series and forecasting models with web-scale data.
  • 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 or econometrics.
  • Expertise in at least one scripting language, ideally Python.
  • Strong SQL skills, including Hive, Presto, or Spark SQL, and experience building reliable data pipelines or workflows such as Airflow.
  • Business acumen and an ownership mindset, with the ability to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
  • Excellent communication skills, including the ability to distill complex analyses and uncertainty into concise narratives for executive audiences.
  • Proven technical leadership, including success leading critical projects and materially influencing the scope and output of other contributors.

Responsibilities

  • Serve as technical lead for the forecasting team and own the strategy and implementation of forecasting models for key company metrics, delivering accurate, interpretable forecasts at scale.
  • Lead the full modeling lifecycle, including problem framing, feature engineering, model development and prototyping, experimentation and backtesting, deployment, monitoring and drift detection, and explainability.
  • Set the forecasting technical vision by defining model architectures and standards, and partner with Engineering to shape a forecasting platform for efficient training and inference and future scalability.
  • Present forecast outputs, scenario analyses, and recommendation frameworks clearly and concisely to senior leadership.
  • Drive broader time-series impact beyond point forecasts, including anomaly detection, automated root-cause analysis, campaign and channel attribution, and early-warning signals for business health.
  • Partner with BizOps, Finance, and product teams to integrate forecasts and insights into operational rhythms, executive decision-making, and strategic planning.
  • Guide and mentor the work of at least two data scientists, raising technical quality, execution, and impact through candid, continuous feedback and coaching.

Desired Qualifications

  • An advanced degree (MS or PhD).

About the Company

Pinterest

Runs an app for finding and saving visual ideas

Pinterest runs a visual search and discovery app where people look for ideas in areas like cooking, home decor, fashion, and travel, then save the images they like to themed collections called boards. In 2012 it became the fastest standalone website to reach 10 million monthly US visitors, according to measurement firm comScore. Each saved image, called a Pin, links back to its source, such as a recipe or a product page, and people search with words or with a photo to find similar ideas and things to buy. Brands pay to show ads among Pins in feeds and search results, and Pinterest also sells ads on streaming TV. It launched in 2010 and is based in San Francisco, California.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2010

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