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Pinterest Data Scientist Jobs (NOW HIRING)

Strike Social

Senior Data Scientist

Chicago, IL · Remote

Senior Data Scientist Who you are: You are someone who takes pride in your work, seeks order in ... Snapchat, Pinterest and more * Develop algorithms and models that inform customer activities

Taboola

Senior Data Scientist

Los Angeles, CA · Hybrid

... Data Scientist on Taboola's R&D Team in Downtown Los Angeles, utilizing some of the latest ... Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Ready to realize your ...

Taboola

Senior Data Scientist

Los Angeles, CA · On-site

... Data Scientist on Taboola's R&D Team in Downtown Los Angeles, utilizing some of the latest ... Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Ready to realize your ...

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Pinterest Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do pinterest data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for pinterest data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Pinterest data scientist?

A Pinterest Data Scientist analyzes large datasets to drive product decisions, improve user experiences, and optimize platform performance. They use statistical models, machine learning, and experimentation to uncover insights and guide business strategy. Responsibilities may include A/B testing, recommendation algorithms, and trend analysis to enhance engagement and monetization. Collaboration with engineers, designers, and product managers is key to translating data into impactful decisions.

What kinds of projects and collaborations can a Pinterest data scientist expect in their daily work?

As a Pinterest Data Scientist, you can expect to work on projects that range from developing recommendation algorithms to analyzing user engagement and supporting product feature launches. You'll routinely collaborate with engineers, product managers, and designers to translate analytical insights into product improvements and data-driven strategies. The environment is highly cross-functional, with frequent opportunities to contribute to both short-term experiments and long-term product vision. This collaborative structure offers varied experiences and supports the ongoing development of both technical and business-focused skills.

What are the key skills and qualifications needed to thrive as a Pinterest data scientist?

To thrive as a Pinterest Data Scientist, you need a strong foundation in statistics, machine learning, data analysis, and programming, typically backed by a degree in a quantitative field. Proficiency in tools like Python, R, SQL, Hadoop, and experience with data visualization platforms such as Tableau or Looker are highly valued, as is familiarity with A/B testing methodologies. Strong communication, problem-solving, and cross-functional collaboration skills set outstanding candidates apart. These qualifications are essential for driving data-informed decisions, optimizing user experiences, and supporting business growth on the Pinterest platform.

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Pinterest Data Scientist jobs near you
Infographic showing various Pinterest Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Sr. Staff Software Engineer, Big Data Platform

Pinterest

Palo Alto, CA • On-site, Remote

$65.50 - $86.75/hr

Full-time

Posted 6 days ago

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 senior staff software engineer to lead the next generation of data infrastructure at Pinterest which powers mission critical big data and AI applications. You'll be working on some of the most exciting big data and AI open source technologies (Flink, Spark, Kubernetes, etc.), at the scale of exabytes of data to help Pinners discover and do what they love.
What you'll do:
  • Lead the strategy and technical direction of Pinterest's data infrastructure for big data and AI applications
  • Build and scale data infra frameworks and infrastructure to process petabytes-scale datasets, including compute engines, job management, resource management, scheduling and remote shuffling
  • Work with internal customers on critical business use cases that rely on big data
  • Provide thought leadership to the entire company on how data should be processed and stored more reliably, quickly and efficiently at scale
  • Contribute to the team's technical vision and long-term roadmap

What we're looking for:
  • 10+ years of industry experience with a proven track record of technical excellence
  • 5+ years of experience of building and support large scalable Kubernetes or big data platform
  • Deep knowledge of big data / ML technologies (e.g. Flink, Spark, Presto, Kubernetes, Ray, PyTorch/TensorFlow)
  • Proficiency in one or more programming languages (Java, Go, Scala, Python)
  • Experiences in Kubernetes and AWS technologies
  • Exceptional collaboration skills with cross-functional partners, with the ability to navigate ambiguity, make tradeoffs, and keep stakeholders aligned on priorities and progress.
  • Bachelor's degree in Computer Science, a related technical field, or equivalent experience.

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.

Relocation Statement:
  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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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