Manager, Data Science, Marketing Analytics

At Match Group, we help millions of singles find meaningful relationships through our diverse portfolio of brands, including Match, Hinge, OkCupid, Plenty of Fish, and more. With a presence in over 190 countries, our reach is expansive-and growing fast.

We're driven by a shared mission: to spark connections that transform lives. From behavioral science to machine learning, we apply deep thinking and innovative approaches to the complex dynamics of human connection.

Match Group’s Analytics Team is looking for a Manager, Data Science 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.

When it comes to dating, the connection starts online, but the real magic happens once you meet in real life.  We think the same is true for creating the best platforms, so we work together IRL in our Vancouver office three days a week. 

How you’ll make an impact:

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

Build industry leading models to better 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.

We may be a Match if:

5+ years of relevant experience in analytics or data science.

Experience building Marketing Mix Models (MMM) and other marketing measurement techniques

Ability to think objectively and interpret meaningful themes from quantitative and qualitative data

Ability to build constructive and effective relationships with a broad and diverse group of business partners

Ability to execute complex analytics projects where you have to determine salient questions in a complex ecosystem and present action-oriented conclusions

Proficiency with SQL required

Strong coding capabilities, preferably in Python. 

Familiarity with BI concepts and tools, including data pipeline orchestration and dashboard creation

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