Sr. Data Scientist, Revenue at Match Group

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, InternetIndustries

Requirements

Bachelor’s, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, Physics, or related field)
Expertise in product analytics, monetization strategies, and data science methods
Ability to work in a hybrid role requiring in-office collaboration three times per week in Los Angeles, CA

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

Skills

Key technologies and capabilities for this role

Data ScienceAnalyticsStatistical AnalysisData IntegrityData Literacy

Questions & Answers

Common questions about this position

Is this role remote or hybrid, and where is it located?

This is a hybrid role that requires in-office collaboration three times per week in Los Angeles, CA.

What are the key responsibilities of this Senior Data Scientist role?

You will evaluate the impact of new features and monetization initiatives on revenue, user engagement, and retention, and partner with product teams to provide recommendations to stakeholders.

What skills and expertise are needed for this position?

The role requires expertise in product analytics, monetization strategies, and data science methods, particularly for pricing, machine learning offers, and premium experiences.

What is the company culture like at Tinder?

Tinder's culture emphasizes 'One Team, One Dream' with collaborative work across functions, ownership, continuous learning, problem-solving, and embracing diversity to build better experiences.

What makes a strong candidate for this Senior Data Scientist role?

A passionate and motivated candidate with expertise in product analytics, monetization, and data science, who can partner across Design, Product, Engineering, ML, and Finance teams to influence the product roadmap and executive decisions.

Match Group

Provides online dating and social discovery

About Match Group

Match Group leverages the Swipe feature® and social discovery, facilitating deeper connections through its portfolio of online dating brands, with a global presence and availability in over 40 languages.

Dallas, TexasHeadquarters

1986Year Founded

$400MTotal Funding

IPOCompany Stage

Consumer Software, Social ImpactIndustries

1,001-5,000Employees

Benefits

Medical/Dental/Vision Insurance

Charitable Matching Program

Retirement Matching Funds

Training and Education Allowance

Performance Bonuses

Mental Health Counseling

Risks

Increased competition from AI-driven dating apps may draw users away.

Privacy concerns and data breaches could impact reputation and operations.

Free dating apps with innovative features may pressure Match Group's pricing models.

Differentiation

Match Group offers nearly 50 brands catering to diverse dating communities.

The company generates revenue through subscription, transaction, and advertising models.

Match Group operates globally, available in over 200 countries and 40 languages.

Upsides

Increased interest in AI-driven matchmaking enhances user experience and engagement.

Growing trend of VR integration offers immersive dating experiences.

Rising demand for niche platforms caters to specific interests and communities.

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