{"id":"3293386070","title":"Data Scientist, ML (Agentic, CX)","posted_at":"2026-06-12T19:33:11.000Z","apply_url":"https://job-boards.greenhouse.io/robinhood/jobs/7489476","locations":["Menlo Park, CA","New York, NY"],"employment_type":"full_time","workplace_type":null,"seniority_level":"mid","description_language":"en","source_name":"greenhouse","source_url":"https://boards.greenhouse.io/robinhood/jobs/7489476?t=gh_src=&gh_jid=7489476","salary":{"min":158000,"max":185000,"currency":"USD","period":"year","display":"$158,000–$185,000"},"job_summary":"Robinhood is a financial services company working to democratize finance for all. This Data Scientist role focuses on building and deploying agentic AI systems to enhance customer experience, trust, and platform safety.","job_description":{"responsibilities":["Build and deploy machine learning models for customer support systems including intent classification and multi-agent orchestration","Design evaluation frameworks using LLM-based review methods and automated quality metrics","Develop propensity, segmentation, and personalization models for proactive outreach","Partner with engineering on prompt design, retrieval systems, tool use, and memory architectures","Ensure response quality and reliability while collaborating with legal and compliance partners"],"minimum_qualifications":["Strong Python and SQL skills with experience building and evaluating ML systems end to end","Experience with agent-based AI systems including reasoning loops, tool use, memory, and RAG","Experience designing experiments and applying causal inference methods like A/B testing","Ability to work through ambiguous problems and collaborate across cross-functional teams"],"preferred_qualifications":["Experience building and evaluating agent-based systems for production use","Experience developing recommendation, ranking, or personalization systems at scale","Experience working on AI products in regulated industries such as financial services"]},"visa_sponsorship":null,"experience_years_min":null,"job_address":null,"job_city":"Menlo Park","job_state":"CA","job_country":"US","location_lat":37.453057699999995,"location_lng":-122.18377330000001,"keywords":["customer experience","cross-functional","production-ready","machine learning","experimentation","infrastructure","architectures","data science","intelligence","Collaborate","A/B testing","performance","experiences","fast-moving","engineering","production","AI-powered","compliance","pipelines","regulated","Platform","business","Flexible","outreach","customer","research","account","testing","agentic","privacy","develop","design","deploy","Python","teams","Spark","Legal","data","SQL","RAG","ML","AI","CX"],"company":{"name":"Robinhood","logo_url":"https://img.logo.dev/robinhood.com?token=pk_fWx5G5QrQMm-0Ud8BW3mBg&size=64&format=png","description":"Robinhood is a financial services company that provides a platform for retail investing and cryptocurrency trading with a mission to democratize finance.","website_url":"https://robinhood.com","linkedin_url":"https://www.linkedin.com/company/robinhood","glassdoor_url":null,"x_url":"https://x.com/RobinhoodApp","instagram_url":"https://www.instagram.com/robinhoodapp/","youtube_url":"https://www.youtube.com/@Robinhood","github_url":"https://github.com/robinhood","huggingface_url":null,"tiktok_url":"https://www.tiktok.com/@RobinhoodApp","crunchbase_url":"https://www.crunchbase.com/organization/robinhood","facebook_url":"https://www.facebook.com/RobinhoodApp","employee_count_range":"1001-5000","employee_count":null,"founded_year":2013,"headquarters":{"address":"85 Willow Rd, Menlo Park, CA 94025, United States","city":"Menlo Park, CA","country":"US","lat":37.4519671,"lng":-122.177992},"industry":"fintech","company_type":"enterprise","total_funding_usd":null,"locations":["Bellevue, WA","Chicago, IL","Clearwater, FL","Denver, CO","Gainesville, FL","Lake Mary, FL","Lithuania","Ljubljana, Slovenia","London, UK","London, United Kingdom","Luxembourg City, Luxembourg","Menlo Park, CA","New York, NY","Singapore","Texas, USA","Toronto","Toronto, Canada","Vilnius, Lithuania","Washington, DC","Westlake, TX"]},"location_points":[{"lat":37.453057699999995,"lng":-122.18377330000001},{"lat":40.7564992,"lng":-73.9825384}]}