What you'll do:
- Explore and analyze large-scale datasets to identify patterns, trends, and opportunities.
- Develop and evaluate machine learning models and/or LLMs that improve user experience and engagement.
- Design and execute A/B experiments to measure the impact of product features and algorithmic changes.
- Collaborate with cross-functional partners in Data Science, Product, and Engineering to translate insights into actionable strategies.
- Present key findings and project outcomes to Product and Leadership teams during end-of-internship demos.
- Translate data insights into clear narratives and recommendations that inform product roadmaps and user experience improvements.
- Participate in improving the team’s tools and techniques for experiment reads, focusing on standardization, automation, and clear documentation.
What we're looking for:
- Passion for using data and experimentation to solve complex problems.
- Intermediate to advanced SQL skills for data querying and analysis.
- Familiarity with / building to proficiency in Python.
- Strong foundation in statistics, probability, and machine learning fundamentals.
- Understanding of data structures and algorithms.
- Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field.
Top Skills
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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