Data Scientist (NYC, L5/L6)
nelo
If you want to work on machine learning that directly affects financial decisions for millions of people, this is a real opportunity. Nelo is a fintech platform in Latin America with over $500M in annual volume. They're hiring data scientists in New York to build the models that power their credit and marketplace products.
Your day-to-day: develop ML and causality models for underwriting and portfolio decisions, create algorithms for credit scoring and pricing, design experiments to test product changes, and analyze the results. You'll own the data science side of core product decisions. The work is concrete—models you build get deployed, and you'll see the impact.
This role works best if you have a computer science or math background, experience with Python or similar languages, and some portfolio work showing you can build and ship models. You don't need years of experience; what matters is you can code, think clearly about causality and tradeoffs, and communicate findings to non-technical teams.
To apply: submit your resume and a link to your work (GitHub, Kaggle, or past projects) through CareerJumpShip. Nelo's team includes people from Uber, Amazon, and Rappi, and they move fast.
About this role
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 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, 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