> Markdown version of [/jobs/ext/4618308-senior-data-scientist-ml-brokerage](https://www.wearedevelopers.com/jobs/ext/4618308-senior-data-scientist-ml-brokerage). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Data Scientist, ML (Brokerage)

- **Company:** Unchained Labs
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 3d Models, Human-Computer Interaction, Python (Programming Language), Machine Learning, Recommender Systems, SQL Databases, Data Streaming, Machine Learning Operations, Marketplace
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_67ca9caec7e89fb0500311fcf941882e

## About the Role

* 5+ years of experience building recommendation systems in customer-facing products (e.g., streaming, marketplace, or on-demand platforms)
 * Proficiency in Python and SQL with strong experience with machine learning systems and production modeling
 * Experience with experimentation methods and causal inference to evaluate model performance
 * Clear communication and effective collaboration with product, engineering, and data science partners
 * Demonstrated ownership by driving projects from concept through implementation

## Description

The Brokerage Data Science team uses data to inform automated modeling decisions and generate insights that guide product and business strategy. The team works closely with product, engineering, and operations partners to improve how customers engage with Robinhood's platform. You'll contribute to shaping personalized product experiences that support customers throughout their investing journey., As a Senior Data Scientist, ML, you will lead the development of recommendation systems for prediction markets, one of Robinhood's fastest-growing areas. You will work closely with product managers and engineers to identify opportunities for personalization, design modeling approaches, and implement solutions that improve customer engagement. This role starts with building personalization for prediction markets and will expand to additional product surfaces as the strategy evolves., * Build and improve recommendation system algorithms to personalize customer experiences across prediction markets and other product surfaces

 * Partner with product managers to identify areas for personalization and define measurable success criteria
 * Develop features and models that improve relevance and user interaction with our prediction markets offerings
 * Collaborate with software and machine learning engineers to design and implement scalable feature pipelines and the ranking systems
 * Design and run experiments to evaluate model performance and measure incremental impact on customer engagement