Data Scientist, ML (Agentic, CX)

Unchain Data; Menlo Park, Northern (CA, KY); Hybrid; USD 158,000 - 185,000; Full time

Benefits offered by this job

Bonus programs

Equity ownership

401(k) matching

Best-in-class health insurance

Job summary

Robinhood is seeking a Data Scientist, Agentic (CX) to lead ML development across the customer experience stack. You will own experimentation through deployment, building models for support, personalization, and safe, scalable interactions with customers.

The role requires collaboration with product and engineering, with in-person presence in Menlo Park, CA and New York, NY at least 3 days per week; strong Python and SQL skills are essential for end-to-end ML systems.

Qualifications

• Strong Python and SQL skills with end-to-end ML systems experience.
• Experience with agent-based AI systems, including reasoning loops, tool use, memory, and orchestration.
• Experience designing experiments and applying causal inference methods, including A/B testing.
• Ability to work through ambiguous problems and collaborate with product and engineering teams.

Responsibilities

• Build and deploy ML models for customer support systems, including intent classification, escalation detection, and multi-agent orchestration.
• Design evaluation frameworks using LLM-based review methods, human feedback loops, and automated quality metrics.
• Develop propensity, segmentation, and personalization models for proactive outreach and tailored AI experiences.
• Translate advances in agent architectures into production systems, collaborating with engineering on prompts, retrieval, memory, and orchestration.
• Maintain scalable, high-quality response systems in collaboration with product, engineering, legal, and compliance teams.

Skills

Python

SQL

ML end-to-end

Agent-based AI

Job description

About Us

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. We are building an elite team, applying frontier technologies to the world's biggest financial problems.

About the Team + Role

The Platforms Data Science team sits at the intersection of customer experience and trust, building the intelligence that powers how Robinhood supports its customers. The team develops systems that safeguard customers and the platform while making every interaction smarter: from the in-app AI assistant that helps customers research, trade, and manage their portfolios, to the AI-powered support chatbot that resolves issues autonomously, to the machine learning systems that detect and prevent fraud and abuse in real time. These systems rely on evaluation frameworks and guardrails that maintain reliability and safety across the platform. You will work with product engineering, product management, and ML infrastructure teams to deliver production-ready AI systems at scale.

As a Data Scientist, Agentic (CX), you will lead machine learning development across the customer experience stack. This includes models and prompts that power multi-agent orchestration, evaluation pipelines that measure model quality at scale, and personalization systems that determine when and how to engage customers. You will partner closely with product and engineering to improve reasoning, expand tool usage, and strengthen feedback loops between live systems and offline evaluation. The role offers ownership from experimentation through deployment, with opportunities to apply advanced AI techniques in a regulated environment.

This role is based in our Menlo Park, CA and New York, NY offices, with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

Responsibilities

• Build and deploy machine learning models for customer support systems, including intent classification, escalation detection, clarification, summarization, and multi-agent orchestration
• Design evaluation frameworks using LLM-based review methods, human feedback loops, and automated quality metrics to identify regressions before customer impact
• Develop propensity, segmentation, and personalization models that support proactive outreach and tailored AI experiences
• Translate advances in agent architectures into production systems, partnering with engineering on prompt design, retrieval systems, tool use, memory, and orchestration
• Develop systems that maintain response quality and reliability at scale while working with product, engineering, legal, and compliance partners

Requirements

• Strong Python and SQL skills, with experience building and evaluating machine learning systems end to end
• Experience with agent-based AI systems, including reasoning loops, tool use, memory, retrieval-augmented generation, and orchestration
• Experience designing experiments and applying causal inference methods, including A/B testing and measurement design
• Comfortable working through ambiguous problems and collaborating with partners across product and engineering

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

Compensation

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. In addition to base pay, this role is also eligible for bonus opportunities, equity, and benefits.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC): $158,000–$185,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL): $139,000–$163,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL): $123,000–$144,000 USD

Benefits

• Challenging, high-impact work to grow your career
• Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best-in-class health insurance with 100% paid coverage for employees and 90% coverage for dependents
• Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life and disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
• Exceptional office experience with catered meals, events, and comfortable workspaces