About Pinterest:
Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.
Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.
Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more.
What you’ll do:
- Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our Notifications strategy to address shortcomings observed through deep analysis.
- Develop measurement frameworks and metrics to drive data-driven decision making, optimizing for the full user journey.
- Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies.
- Thought partner to product, engineering, and ML leadership on the Notifications team to prioritize/scope projects and inform the development of the notifications user experience and corresponding ML systems.
- Improve machine learning models which power notifications delivery and content, via direct contributions, new features/signals, and/or compelling analyses.
- Leadership: Lead and mentor the scope of work for at least 2 other data scientists, 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.
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
- Strong background in statistics, machine learning, and/or experimentation
- Expertise in at least one scripting language (ideally Python/R)
- Proficiency in SQL/Hive
- 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 through compelling data narratives.
- Experience working closely with cross-functional teams, iterating on a user product via A/B experimentation.
- Experience leading key technical projects and substantially influencing the scope and output of others
What skills are ideal but not required?
Exposure to one or more of the following areas is beneficial. Ideal candidates would have exposure to 2+ of these areas and deep familiarity in 1 or more areas.
- Experience with ranking or recommender algorithms.
- Statistical rigor. Experience with causal inference projects.
- Experience working with ML teams and developing Overall Evaluation Criteria to drive decision making.
- Experience working in a Growth function.
- Experience working with user research to complement learnings from data science methods.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
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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.
Our Commitment to Diversity: