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Staff Data Scientist, Forecasting

šŸ‡ŗšŸ‡ø United States

Python

Finance

Hive

Presto

Machine Learning

Internship

Legal

Data Science

SQL

$164,695 - $339,078

Staff Data Scientist, Forecasting

from šŸ‡ŗšŸ‡ø United States

$164,695 - $339,078

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, weā€™re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each otherā€™s unique experiences and embrace theĀ flexibility to do your best work. Creating a career you love? Itā€™s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and weā€™re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, weā€™ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting processhere.

What youā€™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. This is a highā€‘visibility role with regular VP-level exposure.
  • Drive broader timeā€‘series impact beyond point forecastsā€”e.g., anomaly detection, automated rootā€‘cause analysis, campaign/channel attribution, and earlyā€‘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, Ā 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.

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What weā€™re looking for:

  • 8+ years of combined post-graduate academic and industry experience building and shipping production timeā€‘series/forecasting models with webā€‘scale data.Ā 
  • A track record of delivering adjustable, wellā€‘calibrated, and explainable forecasting systems that informing decision-making.
  • Strong background in timeā€‘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 mindsetā€”able to simplify complex problems, connect model outputs to business levers, and prioritize for impact.
  • Excellent communication skillsā€”able to distill complex analyses and uncertainty into concise narratives for executive audiences.
  • Proven technical leadershipā€”success leading critical projects and materially influencing the scope and output of other contributors.

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Relocation Statement:

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

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In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're 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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#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be foundhere.

US based applicants only
$164,695ā€”$339,078 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completeĀ this form for support.
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By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
by @maxrusakovic