The opportunity
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
What you'll do
Act as a strategic thought partner to Core Apps product leads, helping shape: product strategy, roadmap priorities, and the major bets the team makes
Set the data science agenda for Core Apps, deciding where the Product Data: Science team can have the most impact and what it should deprioritize
Manage and develop a small team of Product Data Scientists, coaching them to: move from answering questions to shaping decisions
Frame the most important and ambiguous questions facing the business, size: the opportunities, and make clear recommendations, including when they challenge the current direction
Define how Core Apps measures success, establishing the core metrics and: measurement frameworks that align teams and leadership on what matters
Set the standard for experimentation and causal inference across Core Apps,: and personally lead the highest-stakes analyses
What they're looking for
- Turn complex analyses into clear narratives and recommendations that drive: decisions with senior leadership and cross-functional partners
- Establish foundational data practices and shape the analytics infrastructure: Core Apps needs to support rapid iteration and decision-making as our products grow
- Have extensive experience in data science, including leading analytics for a: product area at significant scale Have 3+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product and business leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI
- Strong candidates may also have: Experience with AI/ML products, large language models, or developer tools in the AI/ML ecosystem