Data Scientist I (Revenue)

The Role:The Analytics team powers data-informed decision-making at Tinder. We are seeking a passionate and motivated Data Scientist to join our growing Analytics team.In this role you will partner with Revenue, Product, Marketing, Engineering, and Finance to accelerate improvements to our platform. The ideal candidate is both passionate about the intersection of online dating and economics and comfortable digging deep into financial data to uncover trends and patterns. This role will operate under the Revenue branch of Tinder and will focus on data related to finance, pricing, and paid-feature conversion.What You'll Do:Digest large, complex transaction datasets into distilled analytics that help the business identify new opportunities.Quickly investigate KPI movements in an evolving global dataset, disentangling correlation and causation to communicate resolutions efficiently.Collaborate closely with strategy and finance teams to study worldwide online dating trends and provide detailed market research to guide pricing decisions.Drive ownership of your own projects while balancing speed of execution and business value.Be an authority on where and how to organize our data and readily share insights with data scientists, product managers, and finance leaders, as well as at a company level.Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.About You:Bachelor’s degree in a quantitative field, Master’s degree, or PhD with an economics, statistics, or similar quantitative field preferred. 1-2 years of professional working experience in Data Science and/or analytics preferred.New graduates are encouraged to apply.Skilled in SQL and a deep understanding of statistical modeling, causal inference, and experimentation.Experience with Python/R and visualization tools like Tableau or Mode is a plus.Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.Eagerness to identify and explore new product opportunities, member insights, and potential improvements to our data infrastructure.Curiosity of how things work from a business, member, and technical perspective. A desire to collaborate and work with other data scientists and cross-functional teams.Experience working on data related to finance and/or subscription business models is a plus.As part of the team, you'll enjoy:Unlimited PTO (with no waiting period), 10 annual Wellness Days, Time off to volunteer and charitable donations matched up to $15,000 annually.Comprehensive health, vision, and dental coverage.100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP).100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation.Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development.Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy.Free subscription to Tinder Gold.Salary Range:$96,000 - $120,000 a year

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