Data Scientist, Marketing Analytics

Match Group

Data Scientist optimizing marketing measurement, experiments, and reporting for Match Group’s global dating platforms. Delivering actionable growth insights across Tinder, Hinge, and other brands.

Posted 9/10/2026full-timeNew York City • California, New York • 🇺🇸 United StatesMid-LevelSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and data science, with a strong focus on building Bayesian regressions, executing geo experiments, and utilizing SQL and Python for data analysis. Capable of delivering actionable insights and optimizing marketing strategies through effective communication and collaboration with diverse teams.

Highest-signal resume keywords

Bayesian RegressionSQL ProficiencyPython ScriptingMarketing Measurement TechniquesExperimental Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisCausal Inference TechniquesAd-Hoc AnalysisBudgeting RecommendationsReporting Infrastructure

Soft Skills

Relationship BuildingCommunication SkillsInsight InterpretationProject Execution

Tools & Technologies

Microsoft ExcelMicrosoft PowerPointBusiness Intelligence Tools

Industry Keywords

Marketing KPIsGrowth ExperimentsData-Driven InsightsA/B Test Design

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Analyze marketing and business performance
Build models to understand the impact of marketing investments and strategy
Identify and communicate insights and opportunities to executives and internal teams
Perform ad-hoc analyses evaluating marketing spend efficiency
Build reporting infrastructure and make budgeting recommendations to optimize growth
Integrate event data with surveys, ad publishers, app store data, and other customer data sources
Support reporting and business intelligence needs of the Marketing team
Partner with Marketing teams across business units on marketing measurement, A/B test design and analysis, and data-driven insights

Requirements

What 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
Proficiency with SQL
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
Ability to interpret meaningful themes from quantitative and qualitative data
Ability to execute complex analytics projects and present action-oriented conclusions
Ability to build effective relationships with diverse business partners

Benefits

Comp & perks

Medical, mental health, and wellness benefits
100% employer match on 401k contributions up to 10% (cap at $10,000)
Employee stock purchase program
Generous PTO
14 paid holidays
Annual training allowance for professional development
ERG membership opportunities and events
20 weeks of 100% paid parental leave
Fertility, adoption, and child care resources
Pet insurance and discounts
Company events