Karkidi
Data Scientist II (Product Analytics, Recommendations )
Karkidi, Palo Alto, California, United States, 94306
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. We’re looking for innovative, resourceful problem solvers who are deeply invested in our product and excited by the opportunity to work with extensive, sophisticated datasets. As a Data Scientist focused on Analytics, you will work cross-functionally with Product, Marketing, Engineering, and Finance teams to elevate our platform. 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.
Where you’ll work:
This position is 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 data. Eagerness 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 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. 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. 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.
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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 data. Eagerness 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 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. 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. 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.
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