JobgetherRemote · India
Match GroupPosted 1w ago
Data Scientist, Marketing Analytics
Data Scientist, Marketing Analytics at Match Group scores 10 out of 100 on AI centrality, which makes it a Level 1 role on this board.
AI in this role
Data Scientist focused on marketing analytics, measuring performance, and optimizing growth across Match Group's global dating portfolio.хии
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.
When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week.
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.
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A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where marketing analytics was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where econometric modeling was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Science, Marketing Analytics, A B Testing, Econometric Modeling, and Statistics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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