Data Scientist II

Key Skills

A/B Testing, Data Visualization, Machine learning techniques, R Programming, SQL, Tableau

Job Description

The Role:

Data Science - Growth

Tinder's Growth Data Science team seeks curious individuals eager to drive data-informed decision-making. As a strategic partner to the Product team, we use comprehensive datasets to develop experiments, track metrics, automate reports, and generate insights that guide business solutions, impacting business performance and member experience. This role offers the opportunity to join the User Growth or Growth Platform teams. The User Growth team validates hypotheses and optimizes core experiences through growth levers and personalization. In contrast, the Growth Platform team focuses on scaling and optimizing messaging strategies through strategic channels. We'll work closely with you to determine the best team fit.

Data Science - Product Analytics, Recommendations

Tinder seeks a Data Scientist to join our growing Analytics team, powering data-driven decision-making across Product, Marketing, Engineering, and Finance. In this role, you'll leverage extensive user behavior data to develop experiments, forecasting models, automated reports, and exploratory insights that guide key business strategies. The ideal candidate is a creative problem-solver passionate about transforming complex challenges into actionable insights through meticulous data analysis and A/B testing. Strong communication skills are essential, as you’ll present findings and recommendations to diverse stakeholders, influencing business performance and enhancing user experiences.

Where you’ll work:

This position can be located in San Francisco, CA, Palo Alto, CA, or Los Angeles.

What You'll Do:

• Drive rigorous testing to validate hypotheses and guide business decisions.
• Find the “story” in the data and readily share insights with product, engineering, and design as well as at a company level.
• Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance.
• Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives.
• Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.

What you’ll need:

• Bachelor’s degree in a quantitative field (e.g. Economics, Computer Science, Statistics), Master’s degree or PhD preferred 2-4 years of professional working experience in Data Science and/or analytics.
• Experience with SQL, data visualization tools (e.g., Tableau or Mode), and A/B testing is required.
• Familiarity with Python/R, using descriptive and inferential statistics and machine learning models.
• Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.
• Ability to present data, actionable insights, technical concepts, and approaches to technical and non-technical audiences.

Differentiators

• Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from dataEagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior
• Curious about how things work, from both a business and technical perspective, could result in identifying and exploring 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 (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

Salary Range:

$135,000

-

$155,000

a year