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Pinterest Data Scientist Jobs (NOW HIRING)

Pinterest

Sr. Data Scientist, Core

San Francisco, CA · Hybrid

As a Data Scientist in our Core organization, you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation ...

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 Jun 12, 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.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including for those interested in roles like Pinterest Data Scientist. Success depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding data analysis tools. Many professionals transition into data science later in their careers and find opportunities based on their expertise and adaptability.

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.

Does Pinterest hire data scientists?

Yes, Pinterest hires data scientists to analyze user behavior, improve recommendations, and optimize platform performance. Data scientists at Pinterest typically work with large datasets, use tools like SQL and Python, and collaborate with cross-functional teams to drive data-driven decisions.

What are the key skills and qualifications needed to thrive in the Pinterest Data Scientist position, and why are they important?

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.

How much do Pinterest data scientists make?

Pinterest data scientists typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and education. Senior roles or those with specialized skills in machine learning and big data may earn higher compensation. Compensation often includes benefits such as stock options and bonuses.

What is a Pinterest Data Scientist job?

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.

Is it hard to get a job at Pinterest?

Getting a Data Scientist position at Pinterest can be competitive, as the company seeks candidates with strong analytical skills, experience with machine learning, and proficiency in tools like Python and SQL. Candidates often go through multiple interview rounds, including technical assessments and behavioral interviews, making preparation important.
More about Pinterest Data Scientist jobs
What job categories do people searching Pinterest Data Scientist jobs look for? The top searched job categories for Pinterest Data Scientist jobs are:
Pinterest Data Scientist jobs near you
Infographic showing various Pinterest Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Sr. Data Scientist, Trust and Safety

Sr. Data Scientist, Trust and Safety

Pinterest

San Francisco, CA • On-site, Remote

Full-time

Posted 29 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.
Pinterest is the world's leading visual search and discovery platform, serving over 500 million monthly active users globally on their journey from inspiration to action. As we scale experiences in a complicated ecosystem, ensuring they are safe, fair, and trustworthy is paramount. We are looking for a Senior Data Scientist to help lead Pinterest's Trust and Safety mandate by designing the foundations for measuring the prevalence of unsafe content across the platform.
In this role, you will design and build sampling frameworks, complex data aggregations, and measurement methodologies to track Trust & Safety policy violations across complex, multi-component user interactions. You will work in a highly collaborative and cross-functional environment, partnering with ML Engineers, Trust & Safety Ops, subject matter expert teams, and Product Managers. The results of your work will directly influence platform safety metrics, policy compliance, and executive-level visibility into platform health.
What you'll do:
  • Design and develop ML-assisted sampling techniques, applying expertise in statistical methods to accurately measure the prevalence of unsafe content, treating complex multi-component interactions as distinct measurement units.
  • Apply rigorous statistical methods, drawing on knowledge of all kinds of sampling methods and their proper statistical application for complicated use cases, to calculate prevalence rates for specific Trust & Safety policy violations (e.g., Adult content, Self-harm, Harassment, Misinformation) and to further expand and improve the prevalence measurement.
  • Build large-scale data pipelines to aggregate Pinner-generated queries, system responses, and recommended Pin images into a unified format for human and ML-based safety labeling.
  • Partner cross-functionally to orchestrate "Offline" dashboards and robust "Online" production workflows for continuous safety monitoring.
  • Collaborate closely with Trust & Safety teams to translate written safety policies into unified LLM prompts, coordinate BPO labeling queues, and calibrate labeler decision quality
What we're looking for:
  • 5+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Strong interest and hands-on experience in platform safety, prevalence measurement, adversarial testing, responsible data measurement, or Trust & Safety.
  • Deep familiarity with the measurement challenges of a complex ecosystem, including statistical interpretation of data.
  • Experience designing and calibrating measurement frameworks, managing complex logging tables (e.g., user/interaction/component data), and defining directional success metrics.
  • Strong quantitative programming (Python) and data manipulation skills (SQL/Spark); experience with complex ML pipelines and up-sampling.
  • Ability to drive ambiguous measurement projects end-to-end, overcoming unstructured policy dependencies with high ownership.
  • Excellent written and verbal communication skills, with the ability to advocate for decision quality before releasing metrics to executive leadership.

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.

#LI-NM4
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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