Data Scientist (NYC, L5/L6)

Nelo

Nelo

Data Science
New York, NY, USA
USD 180k-230k / year + Equity
Posted on Oct 6, 2025

Location

NYC

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

  • Base salary range $180K – $230K • 0.05% – 0.1% • Offers Bonus

About Nelo

Nelo is a leading consumer fintech in Mexico, with >$350MM in annualized GMV, >$60MM in annualized revenue, and >$20MM in annualized gross profit. Our mission is to increase the buying power of consumers in Latin America, and we are doing so by building a modern alternative to credit cards.

Nelo has raised over $35MM of venture capital from investors including Homebrew, Two Sigma Ventures and Susa Ventures. Nelo has additionally raised a $100MM asset credit facility from Victory Park Capital.

Our lean team includes experienced leaders from top technology companies including 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

  1. Develop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisions

  2. Create credit, personalization, ranking, and pricing algorithms

  3. Design and analyze continuous experiments to provide insights and guide product and algorithm decisions

  4. Lead machine learning infrastructure projects, include 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

Compensation Range: $180K - $230K