Know where you belong!

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.

In this role, you will:

• Master and be responsible for analyzing marketing and business performance.

• Build models better to understand the impact of our marketing investments and strategy

• Find the “story” in the data and communicate insights and opportunities with executives and other internal teams.

• Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, build reporting infrastructure, and assist in making budgeting recommendations to optimize growth.

• Integrate captured event data with other customer data sources, such as surveys, ad publishers, and app store data.

• Support reporting and business intelligence needs of the entire Marketing team.