What are the responsibilities and job description for the Data Scientist II (Product Analytics, Recommendations ) Hot Job Palo Alto, California Departm[...] position at Lifeattinder?
Data Scientist II (Product Analytics, Recommendations)
Location : San Francisco, CA, Palo Alto, CA, or Los Angeles
All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description.
Department : Finance & Analytics
Job Type : Full Time
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.
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.
Spark Solutions
We’re problem solvers, focusing on how to best move forward when faced with obstacles. We are intentional about building a workplace that reflects the rich diversity of our members.
The Role :
The Core Data Science team seeks a passionate Data Scientist with a talent for transforming complex problems into actionable hypotheses that can be addressed through rigorous data analysis and A / B testing. In this role, you’ll collaborate closely with the Recommendations team to refine Tinder’s recommendation algorithms and lead initiatives that enhance member engagement and drive revenue growth. You will leverage comprehensive user behavior data to design experiments, build forecasting models, create automated reports, and deliver impactful insights to inform strategic business decisions.
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 :
As part of the team, you'll enjoy :
Salary Range :
135,000 - $155,000 a year
Factors such as scope and responsibilities of the position, candidate's work experience, education / training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered.
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Salary : $135,000 - $155,000
