Staff Data Scientist, Ad Measurement Products at Pinterest

**Who this is for** This position is for an experienced data scientist focused on the science behind ad effectiveness, responsible for shaping how advertisers m

Work type: remote

Location: San Francisco, CA, US; Remote, US

Salary: $164,695 – $339,078/yr

Type: Full-time

Summary

**Who this is for** This position is for an experienced data scientist focused on the science behind ad effectiveness, responsible for shaping how advertisers measure their investment and impact on Pinterest. **Key highlights** You will lead the development of causal inference and lift measurement products, working at the intersection of data science, product strategy, and external partner ecosystems to drive measurement rigor. **You might be a good fit if you...** - Have 8+ years of experience applying scientific methods to web-scale data, with 5+ years specifically in ad measurement. - Are an expert in causal inference, incrementality, MMM, or MTA methodologies. - Possess strong proficiency in SQL and at least one scripting language (Python or R). - Can translate complex technical concepts into actionable business strategies for cross-functional stakeholders.

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](https://www.pinterestcareers.com/our-life/pinflex/) 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](https://www.pinterestcareers.com/our-philosophy-on-ai-in-hiring/).

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.

• 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.

• 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.

• This position is not eligible for relocation assistance. Visit our[ PinFlex](https://www.pinterestcareers.com/pinflex/) page to learn more about our working model.

#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

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