Sr. Data Scientist, Marketing Analytics - LTV

Our Mission:

Launched in 2012, Tinder® revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, “It Starts with a Swipe”™

The Team

Tinder brings people together. With tens of millions of users and a presence in every country on earth, our reach is expansive and rapidly growing. Tinder’s Analytics Team is looking for a Data Scientist with expertise in Marketing Analytics.Our analytics team takes ownership of the decisions made from our data – we develop a deep understanding of both 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, product launches, A/B tests, and company performance.

As the Data Scientist, you will be a partner to the Marketing and Finance teams by providing data-driven insights through ad-hoc analyses, presentations, automated reports and dashboards, experiment design, and advanced statistics research and development. This role will require extensive experience with SQL, data wrangling, statistics, and A/B testing and the ability to work in cross-functional teams to drive practical insights. Experience with user growth and acquisition across 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 Los Angeles, San Francisco, or Palo Alto, CA.

In this role, you will:

• Work on specialized ‘advanced analytics’ projects that include but not be limited to:
• LTV metric exploration, development, and deployment, specifically in a two-sided marketplace
• Incrementally analysis improvements and adaptability
• Marketing Mix Modeling / Investment Optimization analyses and tools
• Sophisticated forecasting and the development of self-service forecasting tools
• Adapt to evolving business dynamics and swiftly adjust task priorities to ensure efficient workflow alignment with changing operational requirements
• Be a leader with a point of view for the organization and the team, using data to constantly challenge and reshape our understanding of business performance and trend
• Build models to understand the lifetime value better and churn behavior of our users
• Find the “story” in the data and communicate insights and opportunities with executive and other internal teams
• Be an advisor for other Data Scientists on the Analytics team
• Perform ongoing ad-hoc analyses to evaluate the efficiency of our marketing spend, building reporting infrastructure, and assisting in making budgeting recommendations to optimize growth
• Support reporting and business intelligence needs of the Marketing team
• Provide regular and clear updates on project progress to manager and collaborators
• Deliver reporting for key stakeholders on trends, notable updates, and stories
• Establish good rapport and collaborate with leadership, stakeholders, and colleagues to ensure that product deliverables satisfy business requirements

You’ll need:

• 5+ years of professional experience with time series analysis, Causal Inference, forecasting and prediction modeling, and Marketing mix modeling 
• 2+ years of LTV modeling experience
• ML experience is a ‘plus’
• Previous experience building LTV predictive and econometric models
• LTV modeling experience can include: Retention, ratio, or behavioral driven
• Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data
• 3 years of professional experience with SQL and data visualization tools (e.g., Tableau or Mode) to build tools that surface useful insights, opportunities, and trends for leaders to action on and exploit
• 3 years of experience in data scripting in Python or R
• 3 years of experience with A/B testing and sophisticated statistical techniques

As a full-time employee, you’ll enjoy:

• 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%, Employee Stock Purchase Plan (ESPP)
• 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
• Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
• Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
• Free subscription to Tinder Gold