Role Overview
Pinterest is hiring a Staff Data Scientist, Forecasting. This is a full-time remote role, with the team based in San Francisco, CA, US; Remote. Part of Pinterest's Lifecycle hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Staff-level Lifecycle roles is $191k-$253k (based on 43 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
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, we’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 other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’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 process here.
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. This is a high‑visibility role with regular VP-level exposure.
- 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.
- A track record of delivering adjustable, well‑calibrated, and explainable forecasting systems that informing 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.
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 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.
#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 found here.
Our Commitment to Inclusion:
About Pinterest

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Frequently Asked Questions
How do I apply for the Staff Data Scientist, Forecasting position at Pinterest?
Use the Apply button above to submit your application directly to Pinterest. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Staff Data Scientist, Forecasting role at Pinterest remote?
Yes. This is a remote role. The team is based in San Francisco, CA, US; Remote, but the position itself does not require relocating to that office.
What does a Staff Data Scientist, Forecasting at Pinterest earn?
Pinterest has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Staff Data Scientist, Forecasting role at Pinterest posted?
This role was posted on July 1, 2026 (11 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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