Senior Data Scientist, Matching

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

Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives on our Matching team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you as data scientists at Hinge will inform and evaluate product feature development and strategy. In turn, your work will deeply influence how millions of Hinge members use the app and connect with each other.

Responsibilities

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Collaborate with a cross-functional team of product managers, researchers, designers and engineers to develop and iterate on product features and strategy

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Translate product objectives to data science problems and vice versa

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Apply statistical inference to draw rigorous conclusions from data, especially through designing and analyzing A/B tests and working on strategic insights that drive product strategy

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Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems

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Collaborate with AI team to develop, iterate, and test production models (e.g., targeting)

What We're Looking For

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5+ years of experience as data scientist
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Experience with A/B testing
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Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)
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Strong knowledge of statistics and machine learning
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Superb communication skills
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Ability to balance rigor with practicality
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Deep sense of intellectual curiosity
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Excellent collaboration skills and a track record of cross-functional influence