Data Scientist Intern

Match Group

. Design and execute A/B experiments to measure the impact of product features and algorithmic changes .

Posted 11/6/2026internshipSan Francisco • California • United StatesEntry Level💰 $43 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in A/B Testing, SQL, and Python, with a strong foundation in statistics and experimental design. Capable of translating data insights into actionable strategies and clear narratives to enhance user experience and drive innovation.

Highest-signal resume keywords

A/B TestingSQLPythonStatisticsData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

A/B TestingSQLPythonStatisticsProbabilityExperimental DesignData QueryingData AnalysisHypothesis TestingLarge-Scale Data Exploration

Soft Skills

Clear Written CommunicationCurious MindsetFast-Learning

Tools & Technologies

AI ToolsLLM-Based Coding Assistants

Industry Keywords

Data ScienceProduct DevelopmentUser ExperienceAnalyticsExperimentation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and execute A/B experiments to measure the impact of product features and algorithmic changes
Help build and improve the team’s experimentation and analytics tooling, including AI-assisted workflows, with a focus on standardization, automation, and clear documentation
Take a scoped analysis from question to recommendation, with guidance from your mentor
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
Explore and analyze large-scale datasets to identify patterns, trends, and opportunities
Help enhance user experience, strengthen safety, and drive innovation across Tinder’s platform

Requirements

What you’ll need

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 experimental design (A/B testing, hypothesis testing)
Clear written communication and a curious, fast-learning mindset
Comfort using AI tools (e.g., LLM-based coding and analysis assistants) as a regular part of your workflow, and the judgment to check their output
Currently pursuing a BS/BA, MS, or PhD in Computer Science, Data Science, Economics, Statistics, Applied Math, or a related field

Benefits

Comp & perks

Equal opportunity workplace
Reasonable accommodation during the hiring process