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Staff Data Scientist, Ad Measurement Products

Pinterest · 2026-04-07T17:33:23-04:00

AI-Agency

B65 U75

📍 San Francisco, US 🌐 Remote/hybrid 💰 $164K–$339K 🛠 AI tools welcome at work 🤝 AI-OK in interviews Staff 8+ yrs

SQLPythonR

TL;DR

Staff Data Scientist at Pinterest leading ad measurement science. Focus on causal inference, incrementality measurement, and AI-assisted analytics for advertisers. Requires 8+ years experience with 5+ in ads measurement.

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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.

We’re looking for a Staff Data Scientist to lead the science behind how advertisers understand the impact of their investment on Pinterest through first and third party measurement products. You’ll push the boundaries of ads measurement, advancing our approaches to causal inference and incrementality and partner closely with Product and Engineering, as well as represent Pinterest science externally with customers and partners.

What you’ll do

Design, implement, and validate advanced causal inference methods for incrementality and lift measurement.
Apply AI/ML techniques and AI-assisted workflows to improve the scale, speed, and quality of ads measurement, experimentation, and insight generation across first- and third-party measurement products.
Ensure scientific rigor in our measurement products by anticipating and mitigating risks such as bias, imbalance, under-power, and data quality issues, including those that may arise from AI-enabled systems.
Influence Ads Product and Engineering to define the measurement roadmap and integrate science and AI-powered solutions into products and platforms including model-driven diagnostics, anomaly detection, automated insight generation, and decision-support for advertisers.
Collaborate with internal and external measurement partners, such as clean rooms, conversion APIs, MMM partners, and MTA vendors, to design and evaluate joint solutions.
Define and own key success metrics for first-party measurement products; build tools and frameworks that enable teams and advertisers to make better decisions.
Provide technical leadership and mentorship to other data scientists and analysts, elevating measurement rigor and impact across the org.
Clearly communicate complex concepts and tradeoffs to executives, cross-functional stakeholders, external customers, and partners, including the opportunities and limitations of AI-based approaches.

What we’re looking for

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
5+ years in ads measurement with a strong focus on ad effectiveness and incrementality (e.g., conversion lift, brand lift, budget-split testing, matched-market tests, MMM, MTA).
Proficiency in SQL and expertise in at least one scripting language (ideally Python or R).
Strong business and product sense, with a track record of turning ambiguous questions into well-defined analyses or success metrics and driving decisions that balance scientific rigor and business value.
Experience applying AI/ML methods or AI-assisted workflows to analytics, experimentation, measurement, or product problems.
Strong judgment in evaluating AI-generated outputs and translating them into reliable, explainable, and scientifically sound solutions.
Demonstrated leadership of key technical projects and meaningful influence on the work of other data scientists, particularly junior and senior peers.
Excellent communication skills and experience leading initiatives across multiple product areas and partnering with leadership and cross-functional teams.

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 times per week and therefore needs to be in a commutable distance from one of the following offices San Francisco, Palo Alto, or Seattle.

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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#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.

US based applicants only

$164,695—$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 complete this form for support.

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