Data Scientist
3 days ago
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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