Senior Data Scientist, Performance Marketing

San Francisco, CA, US; Remote, US

Actively hiring, first seen by us 7 days ago

Pay: Pay not listedSimilar roles state $118K–$193K
Work setting: Remote — work setting source
Listed location: San Francisco, CA, US; Remote, US
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Employment: Not stated

What you’ll work on

Full posting

Run deep strategic analysis of how paid performance marketing drives monthly active users and LTV
Build and deploy propensity, forecasting and lifetime value models for marketing targeting
Evolve geo-testing and other incrementality testing frameworks
Build and optimize ETL pipelines and dashboards for self-serve reporting
Present analytical findings and recommendations to senior leadership

From the employer’s posting

Deep strategic analysis to answer growth marketing ecosystem questions such as how to drive monthly active users from paid performance marketing

Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.

Evolve our existing systems like geo-testing frameworks and other incrementality testing frameworks.

Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities.

Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.

Education & alternatives

- Minimum 5 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems. - Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering. - Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.

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.

In the employer’s words · Read in context

Apply at Pinterest

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 28, 20267 days ago
Recorded sightings: 11
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 7

Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Pinterest is hiring

40 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring has slowed
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
Hive

Where the posting names them

- Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems. - Expertise in at least one scripting language (ideally Python/R). - Proficiency in SQL/Hive. Ability to write efficient SQL queries.

- Expertise in at least one scripting language (ideally Python/R). - Proficiency in SQL/Hive. Ability to write efficient SQL queries. - Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.

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Complete your application on www.pinterestcareers.com. The employer’s form will show what is required.

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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 are looking for a Senior Data Scientist to join our marketing org. As a Senior Data Scientist you introduce greater scientific rigor into the marketing measurement and optimization processes to shape Pinterest’s user growth and marketing strategy. The results of your work will influence and drive strategic decisions for the company - identify investment opportunities for growth, understand user growth and behavior, and define metrics to grow and sustain our user base. You will collaborate on a wide array of business problems with a diverse set of cross-functional partners across Marketing, Product, Engineering, Design, Research, Product Analytics, Data Engineering and others.

The role is within the Growth Marketing team, and would be supporting performance marketing efforts focused on driving user growth for Pinterest.

What you’ll do:

Deep strategic analysis to answer growth marketing ecosystem questions such as how to drive monthly active users from paid performance marketing, how to quantify the effect of paid performance marketing in new markets, how to drive user engagement and user LTV (lifetime value) from performance marketing.
Evolve our existing systems like geo-testing frameworks and other incrementality testing frameworks.
Build and deploy statistical and machine learning models such as propensity, forecasting, and lifetime value (LTV) models—to optimize marketing strategies and enhance audience targeting.
Develop new statistical models as well as maintain/improve existing models like user lifetime value models, budgeting models, long term user retention models etc.
Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Analytics, Marketing, Data Engineering and others.

Evolve our experimentation capabilities and tools to evaluate the business impact of performance marketing investment. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; etc. Identify the right measures of success for teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements.

Translate complex analytical findings into clear, actionable insights and strategic recommendations for both technical and non-technical stakeholders, including senior leadership.
Write clear, actionable analyses that help teams uncover opportunities and identify areas of improvement to our existing strategies.
Design, maintain, and promote dashboards and automated reporting tools to empower stakeholders with self-serve, data-driven decision-making capabilities. Build and optimize ETL data pipelines to automate reporting, support deep dive analysis and feature engineering for analytical models.

What we’re looking for:

Minimum 5 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering.
Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
Expertise in at least one scripting language (ideally Python/R).
Proficiency in SQL/Hive. Ability to write efficient SQL queries.
Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams. Explains work and thought processes clearly and concisely.
Experience leading key technical projects.
Strong Experimentation background.
Statistical rigor. Experience with causal inference projects.

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 recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
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-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

$139,764—$287,749 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.

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.

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