Sr. Data Scientist at Pinterest Job Advertisements
United States
$226.089k - $287.749k
<div class="content-intro"><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>Job Duties: Deep strategic analysis to answer core business and operational questions including assessing the trade-off between metrics change, evaluating overall impact of changes of ads ecosystem. Write clear, actionable data and business analyses that help teams identify areas of improvement and investment. Build segmentation models to assess supply to inform pricing strategy. Improve decision velocity and quality using data scientist tool kit as well as experimentation, causal inference techniques. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results including building tools for experiment analysis. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments, including spanning from collecting entirely new datasets to building dashboards to track components of a metric (e.g., monitoring conversion data for missing values, implausible values, duplicated data). Telecommuting and/or remote employment permitted.</p> <p> </p> <p> Minimum Requirements: Master's degree (or a foreign equivalent) in Finance, Data Science, or a related field and three (3) years of experience in the job offered or in a related position.</p> <p> </p> <p> Special Skill Requirements: Must have at least three (3) years of experience in each of the following:</p> <ol> <li>Advanced SQL proficiency for large-scale data analysis in distributed data warehouse environments such as Presto, Spark SQL, and Hive.</li> <li>Strong Python proficiency for large-scale data analysis and modeling, including the use of pandas, NumPy, stats models, and scikit-learn, as well as building robust analysis pipelines and production-ready notebooks or scripts.</li> <li>Deep expertise in applied machine learning and algorithmic modeling, including model development, evaluation, and optimization for real-world product use cases.</li> <li>Expertise in designing and analyzing online experiments for product changes, including power analysis, variance reduction, guardrail design, and heterogeneous treatment effect analysis on key metrics.</li> <li>Ability to structure ambiguous product questions into clear analytical roadmaps and deliver recommendations with quantified impact, risks, and assumptions.</li> <li>Expertise in causal inference for observational analyses, including methods such as propensity score matching/weighting and difference-in-differences, to estimate incremental impact and control for confounding factors.</li> <li>Experience defining and governing metrics and instrumentation, including event taxonomy, deduplication rules, attribution windows, metric specifications, data contracts, and lineage, to ensure consistency and reliability.</li> <li>Experience building scalable dashboards and automated insight-generation workflows to monitor core metrics, surface anomalies, and deliver stakeholder-ready insights for cross-functional partners.</li> <li>Experience conducting funnel and ecosystem analyses to identify bottlenecks, quantify trade-offs, and prioritize high-leverage product opportunities.</li> <li>Experience performing segmentation and cohort analyses to understand differences in engagement and retention, and to inform targeted interventions.</li> <li>Experience building clustering and segmentation models to identify meaningful user segments and usage scenarios.</li> <li>Strong statistical modeling and inference skills to quantify effects, measure uncertainty, and communicate statistical significance appropriately.</li> </ol> <p>Telecommuting and/or remote employment permitted.</p> <p> Salary: $226,089.00 - $287,749.00 per annum.</p> <p>Reference #: L25-172716</p> <p>This position is not available for relocation assistance.</p><div class="content-conclusion"><p><strong>Our Commitment to Inclusion:</strong></p> <p>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. See also <a href="https://www.dol.gov/sites/dolgov/files/OFCCP/regs/compliance/posters/pdf/22-088_EEOC_KnowYourRights.pdf"><strong>Know Your Rights</strong></a> and <a href="https://www.pinterestcareers.com/eoe/"><strong>Pinterest Policy</strong></a> for more information regarding U.S. roles. 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.</p> <p> </p> <p>By submitting this application, <em>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.</em></p></div>
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