<div><p><strong>About Pinterest:</strong></p> <p>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.</p> <p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the <a href="https://www.pinterestcareers.com/our-life/pinflex/">flexibility</a> to do your best work. Creating a career you love? It’s Possible.</p></div><p>We are looking for a Staff Data Scientist for our Engagement Ecosystem. 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.</p> <p> </p> <p><strong>What you’ll do</strong></p> <ul> <li>Develop a deep, nuanced understanding of the Pinterest engagement ecosystem and key product surfaces, quantifying ecosystem-level opportunities and risks.</li> <li>Lead projects on:</li> <ul> <li>Tradeoffs between organic engagement and advertising.</li> <li>Deep dives on how engagement metrics impact monetization and retention.</li> <li>Understanding and predicting the value of core behaviors (e.g., saving, repinning, board creation) as they relate to downstream business outcomes.</li> <li>Designing and evaluating interventions that sustainably boost enterprise metrics across product boundaries.</li> </ul> <li>Design and productionize robust, scalable ML and evaluation frameworks—spanning forecasting, recommendation, and causal inference.</li> <li>Advocate for best-in-class experimentation, instrumentation, and metric design; bridge the gap between short-term proxy metrics and long-term business impact.</li> <li>Collaborate across disciplines—Product, Engineering, Research, Business, and Design—translating complex data questions into actionable business insights.</li> <li>Mentor and guide junior and senior scientists, fostering intellectual curiosity and driving technical excellence.</li> </ul> <p> </p> <p><strong>What we’re looking for</strong></p> <ul> <li>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.</li> <li>Deep expertise in: Machine Learning (recommendation, ranking, prediction, experimentation), Statistical Modeling &amp; Causal Inference (observational and experimental data), Product analytics/strategy (beyond dashboards: root cause, goaling, design collaboration), Programming in Python/R and advanced SQL/Spark.</li> <li>Strong product intuition—ability to scope, question, and design the right solutions for ill-defined, high-impact business problems.</li> <li>Scientific rigor and healthy skepticism: You challenge assumptions, find flaws, and drive towards robust, reproducible outcomes.</li> <li>Exceptional communication: You make the complex simple, and can influence both technical and non-technical audiences.</li> <li>Track record mentoring and growing data talent at the staff/senior IC level.</li> <li>Cross-functional leadership and the ability to align competing interests towards shared goals.</li> <li>Masters degree in a technical field (e.g., Computer Science, Statistics, Mathematics, Engineering, Social Sciences).</li> </ul> <p> </p> <p><strong>In-Office Requirement Statement:</strong></p> <ul> <li><span>We let the type of work you do guide the collaboration style. That means were not always working in an office, but we continue to gather for key moments of collaboration and connection.</span></li> <li><span>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.</span></li> </ul> <p> </p> <p><strong>Relocation Statement:</strong></p> <ul> <li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/"> PinFlex</a> page to learn more about our working model.</li> </ul> <p>#LI-NM4</p><div><div><div><p>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.</p> <p><em><span>Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>.</span></em></p></div><div>US based applicants only</div><div><span>$163,064</span><span>—</span><span>$335,720 USD</span></div></div></div><div><p><strong>Our Commitment to Inclusion:</strong></p> <div>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 <a href="https://forms.gle/sS24D4WboEKUZMQK6">this form</a> for support. <div> </div> </div></div>

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Staff Data Scientist, Engagement Ecosystem

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