Director of Data Science & Analytics
Listed on 2026-02-16
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IT/Tech
Data Science Manager, Data Analyst, Business Systems/ Tech Analyst, AI Engineer
Overview
Hinge is the dating app designed to be deleted
In today’s digital world, finding genuine relationships is tougher than ever. At Hinge, we’re on a mission to inspire intimate connection to create a less lonely world. We’re obsessed with understanding our users’ behaviors to help them find love, and our success is defined by one simple metric– setting up great dates. With millions of users across the globe, we’ve become the most trusted way to find a relationship, for all.
About the Role
As a Director of Data Science & Analytics, you will lead the data strategy, systems, and team supporting one of Hinge’s most critical product groups, comprising multiple product teams and surfaces. You will shape how success is defined, measured, and acted upon, guiding how we experiment, model behavior, and drive product innovation across a broad, cross-functional domain. You’ll report into the Sr.
Director of DS&A and be part of Hinge’s Data Leadership Team. You’ll manage a high-performing team of Data Scientists and Analysts embedded across the group’s work streams and partner closely with senior leaders in Product, Engineering, AI, Research, and Design. This role is ideal for a data leader who thrives at the intersection of strategy, systems, and user impact, someone who brings deep technical fluency and loves building cross-functional partnerships to scale product development responsibly and intelligently.
- Own data science and analytics for a multi-team product group, defining the long-term strategy, operating model, and team structure that enable scalable experimentation, measurement, and insight generation.
- Partner with senior leaders across Product, Engineering, AI, and Research to shape group-wide product strategy, using metrics, experimentation, and data-driven insights to drive clarity and alignment.
- Design and evolve experimentation and measurement frameworks—including governance, methodology, and tooling—that raise the bar on rigor while capturing both short-term behaviors and long-term user success aligned to business outcomes.
- Lead development of shared data systems, models, and infrastructure (e.g., behavioral analytics, outcome measurement, pipelines, internal tools) in collaboration with AI, ML, and Data Platform teams to accelerate discovery, personalization, and decision-making.
- Synthesize signals across teams and user journeys, identifying cross-cutting trends and patterns that proactively inform product direction and strategic trade-offs.
- Act as a trusted thought partner to executive stakeholders, advising on product strategy, roadmap decisions, and performance diagnostics through a data and experimentation lens.
- Represent the product group in org-wide DS&A forums, contributing to planning, capability building, and the evolution of data culture and best practices.
- Build, lead, and scale a high-performing DS&A team, fostering inclusion, coaching, autonomy, and sustained professional growth.
- 8+ years in data science or analytics, including 3+ years leading and developing data science teams, with demonstrated success supporting mission-driven, user-centric consumer products.
- Deep expertise in product analytics, experimentation, and user behavior modeling, with a proven ability to turn ambiguous problem spaces into clear, data-informed strategies and outcomes.
- Strong technical fluency in SQL and Python, with the ability to engage deeply in modeling and analysis, guide technical direction, and partner effectively with AI and ML teams.
- Systems-level thinker experienced in scaling measurement frameworks and data infrastructure to support longitudinal, qualitative, and outcome-oriented insights.
- Proven cross-functional leader and influencer, able to align diverse stakeholders, communicate complex ideas clearly, and drive impact through collaboration—not just analysis.
- Thoughtful, principled data leader and coach, passionate about rigorous experimentation, intentional measurement, and the growth and development of data scientists and analysts at all levels.
$252,000 – $302,500 a year
Factors such as scope and responsibilities of the position, candidate’s…
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