You'll partner closely with Product Managers, ML Engineers, Data Scientists, Engineering, and User Research, to evaluate and improve our models, using a mix of rigorous experimentation and causal analysis, to uncover insights, design innovative solutions, and influence strategic decisions. Your work will directly shape whether the recommendations we show lead to real, meaningful connections, informing not just what we build, but how we know it's working.
Responsibilities
Collaborate with a cross-functional team of Product Managers, ML engineers, Data Scientists, Engineering, and User Research 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 insights that drive product strategy
Dig into user behavior through exploratory analysis to surface insights product teams wouldn't otherwise see
Collaborate with ML engineers to evaluate, improve, and monitor production models
What We're Looking For
5+ years of experience as data scientist, ideally at a consumer-facing (D2C) company
Experience designing and analyzing experiments
Strong working knowledge of SQL and Python (R is acceptable but we use Python at Hinge)
Strong knowledge of statistics, with a conceptual understanding of ML and curiosity to keep learning
Clear communication skills
Comfortable balancing rigor with practicality
Excellent collaboration skills and a track record of cross-functional influence
Deep sense of intellectual curiosity!
Skills Required
- 5+ years of experience as a Data Scientist
- Experience with A/B testing
- Strong working knowledge of SQL
- Strong working knowledge of Python
- Experience with R
- Strong knowledge of statistics and machine learning
- Superb communication skills
- Ability to balance rigor with practicality
- Excellent collaboration skills and cross-functional influence
Match Group Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.
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Retirement Support — Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
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Parental & Family Support — Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
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Leave & Time Off Breadth — Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.
Match Group Insights
What We Do
Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.
Why Work With Us
Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.
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