We are looking for a Senior Data Scientist to join the Growth org. 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.

What you'll do:

• Deep strategic analysis to answer growth ecosystem questions such as how to drive long term user engagement and how to balance monthly active user growth and overall user engagement.
• Product recommendations. Clearly communicate recommendations to product and engineering leadership on how we can evolve our internal strategy to address shortcomings observed through deep analysis.
• Opportunity sizing and analysis. Write clear, actionable analyses that help teams identify areas of improvement to our growth strategies. How do we segment users and provide more personalized experiences for different segments users?
• Evolve our experimentation capabilities and tools to evaluate the changes we make to our growth levers. Advise on experimentation best practices; identifying flaws in experiment practices and results; building tools for experiment analysis; collaborative design of new multicell experiment frameworks, counterfactual logging, etc.
• Creating and tracking success metrics. Identify the right measures of success for product teams and help them track those metrics. Own the full lifecycle of those metrics from logging requirements, metrics definition, prototype pipelines, and improvements.
• Lead and mentor the scope of work for at least one other individual, 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:

• 5 years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
• Proven ability to apply scientific methods to solve real-world problems on web-scale data.
• 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.
• Experience leading key technical projects and substantially influencing the scope and output of others.

Relocation Statement:

This position is not eligible for relocation assistance. Visit our page to learn more about our working model.

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