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Data Scientist; NYC, L5​/L6

Job in New York City, Richmond County, New York, USA
Listing for: Nelo Mobile
Full Time position
Listed on 2026-01-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer
Job Description & How to Apply Below
Position: Data Scientist (NYC, L5/L6)
About Nelo

Nelo is a leading consumer fintech and e-commerce platform in Mexico, with >$500MM in annualized GMV and >$70MM in annualized revenue. Our mission is to increase consumers' buying power in Latin America, and we do so by building a modern alternative to credit cards.

Nelo has raised over $40M of venture capital from investors including Homebrew, Two Sigma Ventures, and Susa Ventures. Nelo has additionally raised a $100M asset credit facility from Victory Park Capital.

Our lean team includes experienced leaders from top technology companies such as Uber, Amazon, Rappi, and DiDi. We pride ourselves on our velocity, intellectual rigor, and efficiency. Nelo has offices in Mexico City and New York City.

About The Role

As a data scientist at Nelo, you will be responsible for optimizing the overall performance of our credit and marketplace products. Specifically, you will
  • Develop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisions
  • Create credit, personalization, ranking, and pricing algorithms
  • Design and analyze continuous experiments to provide insights and guide product and algorithm decisions
  • Lead machine learning infrastructure projects, including machine learning operations and observability
  • This role requires a deep knowledge of machine learning and statistics. Cross-functional collaboration is also needed.

    We are looking for someone with a strong technical background and clarity of thought. You should be a great communicator and have the ability to drive impact based on your analyses.

    This role is in-office in New York City.

    Requirements:
    • 5+ years of data science experience
    • Deep understanding of classification models, forecasting models and ML techniques
    • Deep understanding of causal inference, experiment design and measurements
    • Deep understanding of optimization, including familiarity with formulating and solving constrained optimization problems
    • Advanced with SQL and Python
    Compensation and Benefits:
    • Very competitive salary and equity
    • 100% medical, dental & vision insurance coverage for you; 50% for dependents
    • Unlimited PTO
    • 401(k)
    • Extended maternity and paternity leave
    • Relocation support
    • Sabbatical program
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