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Data Scientist
  • Python
  • SQL
  • Machine Learning
  • A/B Testing
Match Group
New York, NY
112 days ago
Hinge is seeking a versatile data scientist to work on product development initiatives. From assessing opportunities and results through analytical techniques to curating personalized experiences with machine learning, you will take on a central and multi-faceted role in the product development process. In turn, your work will deeply influence how millions of Hinge members connect with each other.

Responsibilities

  • Collaborate with a cross-functional team of product managers, researchers, and engineers to develop and iterate on product features
  • Translate product objectives to data science problems and vice versa
  • Apply statistical inference to draw rigorous conclusions from data
  • Identify and execute on opportunities to apply machine learning to improve user experience
  • Perform ad hoc exploratory analysis as needed

Requirements:

  • 2+ years of experience as data scientist
  • Strong knowledge of statistics and machine learning
  • Experience with A/B testing
  • Proficiency in SQL and Python
  • Exposure to engineering best practices
  • Superb communication skills
  • Deep sense of intellectual curiosity
  • Comfort with ambiguity
Our Company:Hinge is the dating app for people who want to get off dating apps. In today’s digital world, singles are so busy matching that they’re not actually connecting, in person, where it counts. Hinge is on a mission to change that. So we built an app that’s designed to be deleted. On Hinge, there are no rules, timers, or games. Instead, you’ll meet your most compatible matches and you’ll have unique conversations over what you’ve shared on your detailed profile. It’s a natural way to find a great first date. Currently, 3 out of 4 first dates lead to second dates, we’re the #1 mobile-first dating app mentioned in the New York Times wedding section, and we’re the fastest growing dating app in the US, UK, Canada, and Australia.
Our Culture:
  • Authenticity: Share your genuine thoughts and opinions directly.
  • Courage: Invite and deeply consider challenges and criticism.
  • Empathy: Be empathetic, communitarian and trustworthy.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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