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.
Job Duties: Conduct deep strategic analysis to answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem? Determine opportunity sizing and analysis. Should Pinterest adjust programmatic ad load based on? Write clear, actionable 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: experimentation, causal inference techniques, etc. Design measurement strategy, advise on experimentation best practices, identifying flaws in experiment practices and results; building tools for experiment analysis etc. Creating and tracking success metrics. Identify the right measures of success for engineering teams and help them track those metrics. Break down high-level metrics into actionable segments. Lead and mentor the scope of work for data scientists in the same area, demonstrating high-quality output of both yourself and others for whom you are responsible. Provide continuous and candid feedback, recognizing individual strengths and contributions and flagging opportunities to improve performance. Part-time telecommuting is an option. Hybrid work from Pinterest office in San Francisco, CA.
Minimum Requirements: Master’s degree (or its foreign degree equivalent) in Data Science, Statistics, Computer Science, Engineering (any field), or closely related quantitative discipline and four (4) years of experience in the job offered or in any occupation in related field, OR Bachelor’s degree (or its foreign degree equivalent) in Data Science, Statistics, Computer Science, Engineering (any field) or closely related quantitative discipline and six (6) years of progressively responsible experience in the job offered or in any occupation in related field.
Special Skill Requirements: (1) Statistics; (2) Experimentation (design and execution); (3) SQL, Hive, and Python; (4) Pandas, pymc, and scikit-learn; (5) R; (6) Databricks; (7) Bayesian Regression; (8) XGBoost; (9) K-Means; and (10) Random Forest. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from Pinterest office in San Francisco, CA.
Salary: $240,000.00 - $287,749.00 per annum
Reference #: L25-164197
This position is not available for relocation assistance.
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. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.
