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 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
- Bachelor's/Master's degree in a relevant field such as Computer Science, or equivalent experience.
Relocation Statement:- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times per quarter and therefore can be situated anywhere in the country.
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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.
US based applicants only
$164,695-$339,078 USD