Data Scientist

3 days ago


West Hollywood, United States Match Group Full time
Job Overview

The Analytics team at Tinder is responsible for powering data-informed decision-making. As a Senior Data Scientist, you will play a pivotal role in shaping the company's core products and recommendation algorithms. Your expertise will maximize a comprehensive dataset of user behaviors to develop experiments, forecasting models, automated reports, and various exploratory insights to guide business decisions.

About the Role:

  • Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape understanding of customer behavior and business performance.
  • Derive and communicate data-driven recommendations regarding prioritization of potential product/marketing initiatives and performance of current initiatives.
  • Define and operationalize detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollup tables, dashboards, and automated reporting.
  • Design and analyze experiments to rigorously test specific hypotheses.
  • Find the 'story' in the data and share insights across the organization.
  • Be a mentor/advisor for other Data Scientists on the Analytics team.

Requirements:

  • Bachelor's degree in quantitative field (e.g., Economics, Computer Science, Statistics), Master's degree or PhD in social science preferred.
  • 4+ years of experience in data science or analytics.
  • Ability to develop nuanced business understanding, testable hypotheses, and meaningful findings from data.
  • Eagerness to identify and explore new product/marketing opportunities, potential improvements to data infrastructure, and unanswered questions about customer behavior.
  • Outstanding written and verbal communication skills and willingness to collaborate with business partners.
  • Experienced with SQL and data visualization tools (e.g., Tableau or Mode).
  • Proficient in Python or R.
  • Substantial experience with and understanding of A/B testing and advanced statistical techniques.

Compensation: $146,000 - $175,000 per year. Compensation may vary based on factors such as work experience, education/training, job-related skills, internal peer equity, market and business considerations.


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