Role Overview
Pinterest is hiring a Staff Data Scientist, Monetization. This is a full-time role in Toronto. Part of Pinterest's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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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.
Understanding and improving how we deliver and optimize ads to Pinners is fundamental to Pinterest’s long-term success. We’re looking for a data scientist to join our team in pushing the boundaries in ads delivery and optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.
What you’ll do:
We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our ads delivery at Pinterest. In this role, you will:
- Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
- Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
- Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists based in the Toronto office.
- Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
- Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
- Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)
- Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)
What we’re looking for:
- 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data, preferred to have working knowledge of ads delivery and optimization systems.
- Proven ability to apply scientific methods to solve real-world problems on web-scale data
- Expertise in SQL and Python
- Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
- Experience leading key technical projects and substantially influencing the scope and output of others
- Experience in digital ad delivery stacks preferred
- Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs.
- High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.
- Bachelor’s or Master’s degree in a relevant field such as Data Science, or equivalent experience
Relocation Statement
This position is not eligible for relocation.
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 per half and therefore can be situated anywhere in Ontario.
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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.
Frequently Asked Questions
How do I apply for the Staff Data Scientist, Monetization position at Pinterest?
Use the Apply button above to submit your application directly to Pinterest. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Staff Data Scientist, Monetization position at Pinterest located?
This position is based in Toronto. Pinterest has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Staff Data Scientist, Monetization at Pinterest earn?
Pinterest has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Staff Data Scientist, Monetization role at Pinterest posted?
This role was posted on April 15, 2026 (54 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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