Sr. Data Scientist, Revenue

Match Group • Los Angeles, CA

85d • $160,000 - $170,000

About The Position

We are seeking a passionate and motivated Senior Data Scientist to join Tinder’s Revenue team. In this role you will partner with Design, Product, Engineering, Machine Learning, and Finance teams to help drive the product roadmap. The ideal candidate will use their expertise in product analytics, monetization strategies, and data science methods to help us make better decisions in the pricing, machine learning offers, and premium experiences space. This role will be given wide latitude but high expectations for the development of analyses, models, and plans that will be shared directly with the executive team and help shape the trajectory of our product roadmap. This is a hybrid role and requires in-office collaboration three times per week in Los Angeles, CA.

Requirements

• Bachelor’s, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related fields).
• 4+ years of professional working experience in Data Science and/or analytics.
• 2+ years of industry experience in pricing strategy or monetization analytics, preferably in a related industry (mobile apps, two-sided marketplaces, online dating, social networks, etc., is a plus).
• Advanced understanding of descriptive statistics and experimentation, and confidence in implementation of those methods at scale.
• Expertise with SQL and data visualization tools (e.g. Tableau or Mode) and proficiency in a programming language such as Python or R for data analysis and modeling.
• Resilience and agility to react and communicate fast, prioritizing time on the most impactful projects.
• Excellent communication skills, both written and verbal, with the ability to present complex ideas and results to non-technical stakeholders.
• Proven track record of successfully leading cross-functional projects, managing stakeholders, and driving impact with data-driven insights.

Responsibilities

• Evaluate the impact of new features and monetization initiatives holistically, measuring effects on revenue, user engagement, and long-term retention and translating findings into clear recommendations for product and executive stakeholders.
• Partner with product revenue leads to identify new opportunities by leveraging data to make recommendations on new business initiatives.
• Design, execute, and analyze A/B and paired market experiments to ensure statistically valid results guarded against noise and biases.
• Partner with Product and ML teams to refine and scale pricing, forecasting, and uplift models, delivering actionable insights into user-segment behavior, market dynamics, and monetization opportunities.
• Work in a fast-paced and dynamic environment with concise and impactful communication directly to executive leadership.
• Provide guidance and mentorship to junior data scientists, fostering a collaborative and growth-oriented environment within the team.
• Stay up-to-date with industry trends, emerging technologies, and best practices in data analytics, data science, and pricing strategies.

Benefits

• $160,000 - $170,000 a year
• Geographic adjustment based on location
• Commitment to diversity and inclusion

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 1,001-5,000 employees