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Staff Data Scientist (Notifications)

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Onsite

Staff Data Scientist (Notifications)

Pinterest

Staff Data Scientist (Notifications)

Skills

SQL QueriesPythonRMachine Learning

2 months ago

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Important information


Contract type:

Permanent

Salary:

$164,695 – $339,078 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

9 August 2026

What they need


  • 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- Proficiency in SQL/Hive
  • 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
  • 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  • Expertise in at least one scripting language (ideally Python/R)
  • Experience leading key technical projects and substantially influencing the scope and output of others
  • Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience
  • Strong background in statistics, machine learning, and/or experimentation
  • Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions

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