Data Science II (Marketing Analytics)

Tinderabout 1 year ago
West Hollywood, California, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Tinder’s Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics. In this role, you will work closely with Product, Marketing, Engineering, and Finance to provide recommendations on marketing investments, A/B testing, and overall company performance. You’ll partner with the Marketing team using advanced measurement techniques, data wrangling, econometric modeling, and ad-hoc analyses to drive actionable insights. This position is located in Los Angeles, CA (preferred) or San Francisco, CA.

Key Responsibilities

  • Analyze customer behavior and business performance to derive actionable insights.
  • Build models to understand the impact of marketing investments and strategy.
  • Communicate data-driven insights and opportunities with executives and internal teams.
  • Conduct ongoing ad-hoc analyses to evaluate marketing spend efficiency and support budgeting recommendations.
  • Integrate event data with other customer sources like surveys, ad publisher data, and app store data.
  • Support the Marketing team’s reporting and business intelligence needs.

Required Qualifications

  • 3+ years of relevant experience in analytics or data science.
  • Experience with Marketing Mix Models (MMM) and other marketing measurement techniques.
  • Ability to derive objective insights from quantitative and qualitative data.
  • Proven capability to build effective relationships across diverse business partners.
  • Experience executing complex analytics projects and presenting action-oriented conclusions.
  • Proficiency with SQL is required.
  • Scripting skills, preferably in Python.
  • Strong foundation in statistics, including experimental design and analysis.
  • Proficiency in Microsoft Excel and Microsoft PowerPoint (or equivalents).
  • Familiarity with common marketing KPIs, metrics, and growth experiments.

Preferred Qualifications

  • Curiosity about how things work from both business and technical perspectives to help uncover new product opportunities and improvements in data infrastructure.
  • Proactive collaboration skills with cross-functional teams including Marketing, Product, Engineering, and Machine Learning.
  • Ability to prioritize time across multiple projects and effectively communicate timelines.

Compensation

$135,000 - $155,000 per year

Benefits & Perks

  • Unlimited PTO (with no waiting period), 10 annual Wellness Days, time off to volunteer, and charitable donations matched up to $15,000 annually.
  • Comprehensive health, vision, and dental coverage.
  • 100% 401(k) employer match up to 10% and an Employee Stock Purchase Plan (ESPP).
  • 100% paid parental leave (including for non-birthing parents), family forming benefits, and access to Milk Stork for travel-related needs.
  • Investment in your development: mentorship via MentorMatch, access to 6,000+ online Udemy courses, and a $3,000 annual professional development stipend.
  • Investment in your wellness: mental health support through Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership; pet insurance; fitness membership subsidy; and commuter subsidy.
  • Free subscription to Tinder Gold.

Required Skills

Marketing Mix Modeling
Data Wrangling
Excel
Statistics
Ad-hoc Analysis
Python
A/B Testing
PowerPoint
SQL
Econometric Modeling