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Staff Data Scientist, Forecasting

23 hours, 47 minutes ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
Apache Airflow Feature Engineering Hive Presto Prototyping Python SQL Statistics
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 82

Description

  • Own the strategy and implementation of forecasting models for key company metrics such as monthly active users.
  • Lead the full modeling lifecycle from problem framing and feature engineering through deployment, monitoring, and explainability.
  • Define forecasting model architectures and standards and partner with Engineering on the forecasting platform.
  • Present forecasts, scenario analyses, and recommendations to senior leadership and executive stakeholders.
  • Develop broader time-series solutions such as anomaly detection, root-cause analysis, attribution, and early-warning signals.
  • Partner with BizOps, Finance, and product teams to embed forecasts into operational and strategic planning.
  • Lead and mentor at least two data scientists through feedback, coaching, and technical guidance.

Requirements

  • 8+ years of combined post-graduate academic and industry experience building and shipping production time-series or 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; an advanced degree such as an MS or PhD is preferred.
  • Expertise in at least one scripting language, ideally Python.
  • Strong SQL skills, including Hive, Presto, or Spark SQL.
  • Experience building reliable data pipelines and workflows, such as with Airflow.
  • Business acumen and an ownership mindset with the ability to simplify complex problems and connect model outputs to business levers.
  • Excellent communication skills for distilling complex analyses and uncertainty into concise narratives for executive audiences.
  • Proven technical leadership with experience leading critical projects and influencing the work of other contributors.

Benefits

  • Base salary range of $164,695 to $339,078 USD for US-based applicants.
  • Eligible for equity.
  • Flexible working model with remote work supported.
  • In-office collaboration required only 1-2 times per quarter.
  • Relocation assistance is not available for this role.
  • Access to Pinterest culture and benefits information for the position.

Interested in this position?

Apply directly on the company website

Apply Now

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