Data Science, Analytics Intern

Job Description

Tinder brings people together. With tens of millions of users and a presence in over 190+ countries, our reach is expansive—and rapidly growing. Your work here can change the world. We are looking for a quantitative social scientist with experience in applied research, experimentation, survey methodology, statistical inference, regression modeling, and exploratory data analysis.

The perfect candidate will have a background in a social science, quantitative or technical field and experience working with large data sets and relational databases. You are focused on results, a self-starter, and have superior analytical, computational, and communication skills. This position is for a paid internship based in our West Hollywood, CA office.

What you’ll do:

• Inform, influence, support, and execute a research project used throughout Tinder to drive product and company decisions
• Apply your expertise in quantitative analysis and data visualization to see beyond the numbers and use those insights to optimize our product and better serve our users
• Provide general support to the Analytics team and broader organization around data, data visualization, research, and experimentation

What we’re looking for:

• Currently has, or is in the process of obtaining, a masters or PhD in statistics, political science, sociology, economics, demography, computational social sciences, public health, applied statistics, or related field
• Experience in applying at least one of the following in your research: quantitative research methods or statistical analysis, survey methodology (e.g., bias correction, sampling and design), regression modeling, causal inference with a survey outcome, behavioral data analysis
• Experience with data analysis using SQL and R and/or Python
• Experience initiating and driving research projects to completion with minimal guidance
• Experience communicating the results of analyses

Bonus points if you have:

• Experience with large data sets
• Experience with survey design
• Experience with field experiments, experimental design, missing data, and/or survey sampling
• Experience with observational causal inference (e.g., regression adjustment, matching, propensity score stratification), or quasi-experimental methods (e.g., instrumental variables, regression discontinuity, interrupted time series)
• Experience with bandit optimization, adaptive experimentation, and/or Gaussian processes

As part of our team, you’ll enjoy:

• The hustle of a startup with the impact of a global business
• Tremendous opportunity to solve some of the industry’s most exciting problems
• Fully customized computer equipment to fit your needs
• Working with an extraordinary team of smart, creative, fun and highly motivated people
• Daily catered lunches, endless supply of refreshments, basketball court, fitness classes and social events
• Modern, uplifting work environment in West Hollywood, CA