Staff Data Scientist, Notifications

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.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

What you’ll do:

• Develop measurement frameworks and metrics to drive data-driven decision making, optimizing for the full user journey. 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. 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: Mentor the scope of work for other data scientists, demonstrating high-quality output of both yourself and others for whom you mentor.
  
  

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 bu