Sr. Data Scientist

Palo Alto, CA, United States

Our Mission

As humans, there are few things more exciting than meeting someone new. At Tinder, we’re inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, our reach is expansive—and rapidly growing.   We work together to solve complex problems. Behind the simplicity of every match, we think deeply about human relationships, behavioral science, network economics, AI and ML, online and real-world safety, cultural nuances, loneliness, love, sex, and more.

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

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 contact [email protected].