Match Group · 1 month ago
Sr. Data Scientist, Recommendations
Los Angeles, CA, US
Full-time
Hybrid
Senior Level
5+ years expMatch Group is the company behind Tinder®, which has revolutionized how people connect and has grown to serve approximately 50 million users per month. As a Senior Data Scientist on the Recommendations team, you will work closely with Product, Engineering, and Machine Learning to enhance match quality and retention through data-driven insights and experimentation.
DatingInternetMobile AppsSocial Media
Responsibilities
Work closely with Product, Engineering, and ML to identify and evaluate new opportunities; frame hypotheses, define success metrics and guardrails, and translate findings into clear product recommendations
Support the ML team in improving algorithms across retrieval, ranking, and personalization; strengthen offline/online evaluation and alignment
Define and lead experimentation design and analysis tailored to a two‑sided marketplace; drive meta-analyses and playbooks that uplevel reads and decision quality
Build tools and dashboards to improve experiment reads and KPI monitoring; standardize templates and health checks for fast, reliable iteration
Deliver executive-ready presentations and docs that clarify options, tradeoffs, risks, and expected business impact
Be a trusted and respected partner for the Recs pod, focused on delivering the best recommendations for our worldwide member base
Mentor and inspire other data scientists; review analyses and elevate experimentation, causal inference, and model evaluation practices across the team
Qualification
Required
Bachelor's, Master's, and/or Ph.D. degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics, or related fields)
5+ years of professional experience in data science/analytics, with meaningful time in recommender systems, ranking, search, or personalization at consumer scale (or equivalent impact/complexity)
Fluency in SQL and Python (required)
Deep understanding of statistics and causal inference; hands-on experience designing and analyzing online experiments (A/B, variance reduction, sequential testing) and applying quasi-experimental methods when appropriate
Strong product sense and analytical rigor; ability to frame the right questions, choose fit-for-purpose methods, and land actionable recommendations with cross-functional partners
Familiarity with machine learning for recommendations, including offline/online metric design and model evaluation for ranking/personalization use cases
Preferred
Experience with modern Recs stacks (e.g., retrieval/two‑tower, learning‑to‑rank, embeddings/feature stores) and counterfactual evaluation approaches (IPS/DR, switchback tests)
Working knowledge of Spark or similar large‑scale data tools and MLOps concepts (feature stores, evaluation pipelines, drift/monitoring)
Two‑sided marketplace intuition and guardrail design to protect ecosystem health
Track record of mentorship, thought leadership, and cross‑functional influence
Benefits
Unlimited PTO (with no waiting period), 10 annual Wellness Days
Time off to volunteer and charitable donations matching
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 stipend for your professional development
Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
Free premium subscriptions for several Match Group apps – including Tinder Platinum!
Company
Match Group
Match Group is a division of IAC &and online dating portfolio that comprises over forty brands around the world. It is a sub-organization of IAC.
1001-5000 employees
H1B Sponsorship
Match Group has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (44)
2023 (45)
2022 (99)
2021 (39)
2020 (64)
Funding
Current Stage
Public CompanyTotal Funding
$700MKey Investors
Starboard Value
2025-08-06Post Ipo Debt· $700M
2024-07-15Post Ipo Equity
2015-11-18IPO
Leadership Team
Spencer Rascoff
Chief Executive Officer
Steven Bailey
Chief Financial Officer
Recent News
2026-01-22
2026-01-19
2026-01-04
Company data provided by crunchbase