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Senior Data Scientist, Monetization

Salary

$177k - $213k

Min Experience

5 years

Location

New York, New York

JobType

full-time

About the job

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About the role

About the Role Hinge is seeking a versatile Senior Data Scientist to work on product development initiatives in our Monetization team. From assessing opportunities and experiments through analytical techniques to modeling user experience with machine learning, you, as a Data Scientist 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 Collaborate with a cross-functional team of Product Managers, Researchers, Designers and Engineers to develop and iterate on product features and strategy Translate product objectives to data science problems and vice versa 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 Use a combination of exploratory analysis and data mining techniques to generate actionable insights about user experience and user problems Collaborate with AI team to develop, iterate, and test production models (e.g., targeting) What We're Looking For 5+ years of experience as a Data Scientist Strong knowledge of statistics and machine learning Experience with A/B testing Strong working knowledge of SQL and Python (R is acceptable, but we use Python at Hinge) Exposure to engineering best practices in a work environment Superb communication skills Ability to balance rigor with practicality Deep sense of intellectual curiosity Excellent collaboration skills and a track record of cross-functional influence

About the company

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 tens of millions of users across the globe, we've become the most trusted way to find a relationship, for all.

Skills

sql
python
statistics
machine learning
a/b testing