Full-Time

Data Scientist II

Product Analytics, Recommendations

Confirmed live in the last 24 hours

Match Group

Match Group

1,001-5,000 employees

Provides online dating and social discovery

Consumer Software
Social Impact

Compensation Overview

$135k - $155kAnnually

Junior, Mid

Company Historically Provides H1B Sponsorship

Palo Alto, CA, USA + 2 more

More locations: San Francisco, CA, USA | Los Angeles, CA, USA

This position is hybrid, requiring some in-office presence.

Category
Data Science
Data & Analytics
Required Skills
Python
Data Science
R
SQL
Machine Learning
Tableau
Data Analysis

You match the following Match Group's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor’s degree in a quantitative field (e.g. Economics, Computer Science, Statistics)
  • 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
  • Familiarity with Python/R, using descriptive and inferential statistics and machine learning models
  • Ability to present data, actionable insights, technical concepts, and approaches to technical and non-technical audiences
Responsibilities
  • Drive rigorous testing to validate hypotheses and guide business decisions
  • Find the 'story' in the data and readily share insights with product, engineering, and design as well as at a company level
  • Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance
  • Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives
  • Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting
Desired Qualifications
  • Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior
  • Curious about how things work, from both a business and technical perspective
  • Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making
  • Ability to prioritize time across multiple projects and communicate timelines

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.

Company Stage

IPO

Total Funding

$400M

Headquarters

Dallas, Texas

Founded

1986

Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Match Group unique

  • 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.

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Benefits

Medical/Dental/Vision Insurance

Charitable Matching Program

Retirement Matching Funds

Training and Education Allowance

Performance Bonuses

Mental Health Counseling