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Data Science II (Marketing Analytics)

California, United States (Hybrid)

Data Science II (Marketing Analytics)

1 Month ago • 3 Years + • Data Analyst • Marketing

About the job

11 skills required for this role

Test your skills to join the top 1% applicants for this job

spark

python

sql

data-science

microsoft-excel

business-intelligence

excel

innovation

forecasting-budgeting

alphabeta-testing

cross-functional

Job Description

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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.

Commitment to Inclusion

At Tinder, we don’t just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don’t meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: https://www.lifeattinder.com/dei

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.

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