- Matchgroup
- New York, NY
- 18 days ago
- $130,000 – $160,000
Data Scientist, Marketing Analytics.
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Data Scientist, Marketing Analytics: our view in 3 lines...
- The Role:This role is for a data scientist with marketing analytics experience who can evaluate marketing performance and support growth decisions for a global consumer product portfolio.
- The Person:The person will analyse marketing and business performance, build models to assess marketing investments, run and measure geo experiments, produce ad-hoc analyses and reporting, and support budgeting recommendations.
- Requirements:The ideal candidate has 3+ years of relevant experience, SQL, scripting skills preferably in Python, statistics, experimental design and analysis, and experience with bayesian regressions and causal inference techniques.
About the role
Match Group is a leading provider of dating products across the globe. Our portfolio includes Tinder, Hinge, Match, Meetic, PlentyOfFish, OkCupid, The League, HER, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn’t stop at our products - it’s the foundation of every team we hire.
The Team or Role:
Match Group’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics.
Our analytics team serves the entire MG portfolio, acting as a center of excellence to standardize how we measure marketing performance across all our global brands, including industry leading names like Tinder and Hinge. We develop a deep understanding of the business and its data and establish close working relationships with all teams including Product, Marketing, Engineering, and Finance, so that we can provide recommendations and make proposals regarding prioritization of initiatives, marketing investments, A/B tests, and company performance.
As a data scientist in this role, you will partner with Marketing teams at each of our BUs, providing support through advanced marketing measurement techniques, A/B test design and analysis, and data-driven insights through ad-hoc analyses, presentations, and automated reports and dashboards. This role will require extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing, as well as the ability to work in cross-functional teams to drive actionable insights. Experience with user growth and acquisition across multi-brand consumer products is a plus.
Where you’ll work:
This is a hybrid role and requires in-office collaboration three days per week. This position is located in NYC or Los Angeles.

