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Staff Data Scientist, Ads Delivery

Join Pinterest as a Staff Data Scientist to shape ads delivery and solve complex engineering challenges with a focus on AI and collaboration.

Location
San Francisco, CA, US; Remote, US
Compensation
$164.7k–$339.1k/yr
Level
staff
Type
full time · Hybrid

Posted by employer 1 month ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

AI in the day-to-day

AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.

Requirements

Experience
10+ years
Education
Bachelor's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options

Joblaze summary

The Staff Data Scientist for Ads Delivery at Pinterest focuses on developing and implementing advanced quantitative models and machine learning frameworks to enhance ad delivery across various stages of the customer funnel. This role requires deep expertise in statistical modeling, causal inference, and programming, particularly in Python and SQL, to tackle complex product and engagement challenges. Ideal candidates will have over a decade of experience in data environments and a strong ability to mentor others while collaborating across multiple teams. Pinterest emphasizes a culture of innovation and scientific rigor, making this position suitable for seasoned professionals looking to influ

Joblaze insights

Quick facts

Is the Staff Data Scientist, Ads Delivery role remote?
It's hybrid — Pinterest expects some on-site time in San Francisco, CA, US; Remote, US.
What's the salary range?
Pinterest lists $164,695–$339,078 for this role.
How much experience is required?
At least 10 years of relevant experience for this Staff Data Scientist, Ads Delivery role.
Where is the role based?
Pinterest is hiring for this position in San Francisco, CA, US; Remote, US.
What's the tech stack?
Joblaze extracted these technologies from the posting: Machine Learning, Python, R, SQL, Spark, Statistical Modeling.
What seniority level is this role?
Pinterest targets staff-level candidates for this position.
Is this full-time or contract?
Full-time for this Staff Data Scientist, Ads Delivery role at Pinterest.

From the 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 Staff Data Scientist for our Ads Delivery. You will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world.

What you’ll do:

  • Develop a deep, nuanced understanding of the Pinterest ads delivery, quantifying full funnel opportunities and risks.
  • Lead projects on: Ads Delivery opportunities across different funnel stages
  • Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.
  • Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.
  • Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.
  • Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.

What we’re looking for:

  • 10+ years of hands-on experience in web-scale data environments, with a track record of solving hard, ambiguous problems in product, engagement, or ecosystem analytics.
  • Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling & Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.
  • Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.
  • Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.
  • Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.
  • Track record mentoring and growing data talent at the staff/senior IC level.
  • Cross-functional leadership and the ability to align competing interests towards shared goals.
  • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience

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

#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.

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.
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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