Data Scientist, Marketing Analytics

Posted Yesterday
2 Locations
Hybrid
130K-160K Annually
Mid level
Mobile • Social Media
Match Group is the global dating app leader creating meaningful connections for people around the world.
The Role
Analyze marketing and business performance using SQL, statistics, econometric modeling, Bayesian regression, causal inference, and A/B testing. Build marketing measurement models, integrate customer and event data, develop reporting infrastructure and dashboards, evaluate marketing spend, and provide actionable recommendations to optimize growth. Partner with Marketing, Product, Engineering, Finance, and executives across multiple brands.
Summary Generated by Built In
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.

You’ll need:

  • 3+ years of relevant experience in analytics or data science

  • Experience building bayesian regressions and/or other marketing measurement techniques

  • Experience designing, executing, and measuring geo experiments and causal inference 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

  • Scripting skills, preferably in Python. 

  • 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

Differentiators:

  • Curiosity about how things work, from both a business and technical perspective, leading to the identification and exploration of new strategic opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior.

  • Proactive collaborator skilled in engaging with cross-functional teams (Marketing, Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives

  • Ability to prioritize time across multiple projects and communicate timelines

Why Match Group?
 
Our mission is simple – to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer:
 
Mind & Body  Medical, mental health, and wellness benefits to support your overall health and well-being
Financial Wellness  Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security
Unplug Generous PTO and 14 paid holidays so you can unplug
Career  Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work
Family Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts  
Company Gatherings We host company events where our employees get to know each other and build a sense of connection and belonging!
 
We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic.  Period. 
 
If you require a reasonable accommodation to participate in the hiring process — such as during pre-employment testing or interviews — please indicate this by selecting “Yes” in the accommodation request field. We’ll reach out to discuss your needs if you're selected for the interview stage.   
 
#MG

Skills Required

  • 3+ years of relevant experience in analytics or data science
  • Experience building Bayesian regressions and/or other marketing measurement techniques
  • Experience designing, executing, and measuring geo experiments and causal inference techniques
  • Ability to interpret meaningful themes from quantitative and qualitative data
  • Ability to build effective relationships with diverse business partners
  • Ability to execute complex analytics projects and present actionable conclusions
  • Proficiency with SQL
  • Scripting skills, preferably in Python
  • Knowledge of statistics, including experimental design and analysis
  • Proficiency in Microsoft Excel and Microsoft PowerPoint or equivalents
  • Familiarity with marketing KPIs, metrics, and growth experiments
  • Experience with user growth and acquisition across multi-brand consumer products
  • Curiosity about business and technical systems, data infrastructure, and member behavior
  • Cross-functional collaboration skills with Marketing, Product, Engineering, and Machine Learning teams
  • Ability to prioritize work across multiple projects and communicate timelines

Match Group Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Match Group and has not been reviewed or approved by Match Group.

  • Retirement Support Employer matching on retirement savings and access to an employee stock purchase program are highlighted as standout elements. Feedback suggests this creates strong long-term financial support as part of total rewards.
  • Parental & Family Support Fully paid parental leave, fertility and family-forming support, and childcare resources are emphasized across materials. Feedback suggests these benefits meaningfully support different family needs.
  • Leave & Time Off Breadth Generous PTO, numerous paid holidays, wellness and volunteer time, and other special leave options are consistently described. Feedback suggests the breadth of time-off options helps sustain work-life balance.

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The Company
HQ: Dallas, TX
1,400 Employees
Year Founded: 1995

What We Do

Match Group is home to some of the world’s most popular dating and social discovery apps, including Tinder, Hinge, Match, and more. Match Group’s mission is to spark meaningful connections for every single person worldwide. Our diverse portfolio of apps enables connections across a diverse range of ages, genders, backgrounds, and dating goals. Our services are available in over 40 languages to users all over the world.

Why Work With Us

Match Group is united by a mission to help people find meaningful connections and fight loneliness. We’re not just building products. We’re creating friendships, marriages, and families around the world. Our culture is fueled by purpose, creativity, and a passion for what we can build together.

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