Data Scientist, Marketing Analytics
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What you'll do
- 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
What they're looking for
- Extensive experience with SQL, data wrangling, statistics, econometric modeling, and A/B testing
- Ability to work in cross-functional teams to drive actionable insights
Nice to have
- Experience with user growth and acquisition across multi-brand consumer products is a plus
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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.
Company
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