Data Analyst Specialist
2 days ago
Tinder is a leading social discovery and dating app that revolutionized how people meet. Launched in 2012, the platform has grown from one billion matches to over 97 billion matches in just two years. With a user base of approximately 50 million per month across 190 countries and 45+ languages, Tinder is a scale unmatched by any other app in the category.
What We Offer:
A competitive salary range of $135,000 - $155,000 per year, with opportunities for geographic adjustments based on location. As a valued member of our team, you'll enjoy benefits that reflect our commitment to inclusion and diversity.
Job Description:
We're seeking a talented Data Scientist II to join our Core Data Science team. This role requires collaboration with the Recommendations team to refine Tinder's recommendation algorithms and drive revenue growth through data-driven insights. The successful candidate will work cross-functionally with Product, Marketing, Engineering, and Finance teams to elevate our platform and leverage comprehensive user behavior data to design experiments, build forecasting models, create automated reports, and deliver impactful insights to inform strategic business decisions.
Key Responsibilities:
• Drive rigorous testing to validate hypotheses and guide business decisions.
• Find the 'story' in the data and share insights with product, engineering, and design teams, as well as at a company level.
• Be an authority with a point of view for the organization, using data to challenge and reshape our understanding of customer behavior and business performance.
• Derive and communicate data-driven recommendations regarding the prioritization of potential product/marketing initiatives and the performance of current initiatives.
• Define and operationalize detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.
Requirements:
• Bachelor's degree in a quantitative field (e.g., Economics, Computer Science, Statistics) or Master's degree or PhD preferred.
• 2-4 years of professional working experience in Data Science and/or analytics.
• Experience with SQL, data visualization tools (e.g., Tableau or Mode), and A/B testing required.
• Familiarity with Python/R, descriptive and inferential statistics, and machine learning models beneficial.
• Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.
• Ability to present data, actionable insights, technical concepts, and approaches to technical and non-technical audiences.
Commitment to Inclusion:
Tinder values unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer.
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