Data Scientist II

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"™"

Our Values

One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.

Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.

Never Stop Learning
We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.

Spark Solutions
We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.

Embrace Our Differences
We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.

The Team or Role:

Tinder's Analytics Team is looking for a Data Scientist II with expertise in Marketing Analytics.
Our analytics team takes ownership of the decisions made from our data. 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 the Marketing team, 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 consumer products is a plus.

Where you'll work:

This position can be located in Los Angeles, CA (preferred), or San Francisco, CA

In this role you will:

• Master and be responsible for analyzing customer behavior 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.

What you'll need:

• 3+ years of relevant experience in analytics or data science
• Experience building Marketing Mix Models (MMM) and/or 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
• 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, could lead to the identification and exploration of new product 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.

As part of the team, you'll enjoy:

• Unlimited PTO (with no waiting period), 10 annual Wellness DaysTime 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
  $135,000 - $155,000 a year Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.