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Match Group

Global dating platforms with subscription model

Data Scientist 2 - Marketing Analytics

Data ScienceConfirmed live in the last 24 hours
Full-time$130k - $160k /yr

About the Job

Requirements

  • At least 3 years of relevant experience in analytics or data science.
  • Experience building Bayesian regressions and/or using other marketing measurement techniques.
  • Experience designing, executing, and measuring geo experiments and causal inference techniques.
  • Ability to interpret meaningful themes from quantitative and qualitative data objectively.
  • Ability to execute complex analytics projects, determine salient questions in complex ecosystems, and present action-oriented conclusions.
  • Proficiency with SQL.
  • Scripting skills, preferably in Python.
  • Knowledge of statistics, specifically experimental design and analysis.
  • Proficiency in Microsoft Excel and Microsoft PowerPoint or equivalents.
  • Familiarity with common marketing KPIs, metrics, and growth experiments.

Responsibilities

  • Analyze marketing and business performance.
  • Build models to better understand the impact of marketing investments and strategy.
  • Identify the story in the data and communicate insights and opportunities to executives and internal teams.
  • Perform ongoing ad-hoc analyses to evaluate marketing-spend efficiency, build reporting infrastructure, and assist with budgeting recommendations to optimize growth.
  • Integrate captured event data with customer data sources such as surveys, ad publishers, and app store data.
  • Support reporting and business intelligence needs of the Marketing team.
  • Partner with Marketing teams across business units, providing support through advanced marketing measurement techniques, A/B test design and analysis, ad-hoc analyses, presentations, and automated reports and dashboards.

Desired Qualifications

  • Experience with user growth and acquisition across multi-brand consumer products.
  • Curiosity about business and technical systems, identifying strategic opportunities and potential data-infrastructure improvements, and deepening understanding of member behavior.
  • Ability to engage proactively with cross-functional teams in Marketing, Product, Engineering, and Machine Learning to influence decision-making and voice concerns and alternative perspectives.
  • Ability to prioritize time across multiple projects and communicate timelines.

About the Company

Match Group

Global dating platforms with subscription model

Match Group runs a family of online dating and social-discovery services. It operates a B2C model built on freemium access, with premium subscriptions and in-app purchases that unlock features like better visibility, advanced search filters, and unlimited interactions, plus an advertising channel. Its apps use a swipe-style interface and real-time, location-based discovery, supported by proprietary matchmaking algorithms and a closed-loop data ecosystem to improve experiences across brands. It emphasizes safety tools such as Face Check. The company differentiates itself by owning a large portfolio of brands (including Tinder, Hinge, and Match) and leveraging cross-brand data and technology to optimize experiences, expand into new markets, and acquire emerging platforms. Its goal is to help people form romantic relationships, friendships, and social connections at a global scale while generating recurring revenue through subscriptions and ads.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Dallas, TX
Founded
1986

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