Data Scientist (NYC, L5/L6)

Data Scientist (NYC, L5/L6) LocationNYCEmployment TypeFull timeLocation TypeOn-siteDepartmentData ScienceCompensationNYCBase salary range $180K – $230K • Offers Equity • Offers BonusAbout NeloNelo is a leading fintech in Mexico reimagining credit to expand consumer buying power. Founded in 2019 by former Uber international growth team leads Kyle Miller and Stephen Hebson, Nelo offers credit cards, BNPL loans, bill payments, and its own marketplace — all under one app — designed from first principles for a mobile-first, real-time payments world.With $100M in annual revenue, $1B in annualized GMV, and $140M+ raised in equity and debt, Nelo is one of the most capital-efficient consumer fintech companies in Latin America. The company is profitable — positive operating profit in both 2024 and 2025. It runs lean and technical: 60 employees, 8 engineers, with AI driving underwriting, collections, and operations.HQ: Mexico City, Mexico; commercial and people operations in New York CityFounded: 2019Team size: 60 FTEsOpen roles: 10+Website: nelo.mxStage: Post-Series A; $100M credit facility (Victory Park Capital, 2022); profitableBenefits: 401k, open PTO, medical, dental, vision, STD, LTD, fertilityCompany values:Be your best selves: ambition, hard work, intellectual curiosityEveryone is an owner: all employees receive equity including customer support; 10-year option expiration; equity refreshersCustomer first: product decisions grounded in customer benefitOpen and honest communication: quarterly financials and board presentations shared company-wide; low tolerance for bureaucracy or gossipMove fast, learn fast: hundreds of experiments run monthly; rigorous experimentation cultureAbout The RoleAs a data scientist at Nelo, you will be responsible for optimizing the overall performance of our credit and marketplace products. Specifically, you willDevelop machine learning and causality models upon which Nelo will make underwriting and portfolio management decisionsCreate credit, personalization, ranking, and pricing algorithmsDesign and analyze continuous experiments to provide insights and guide product and algorithm decisionsLead machine learning infrastructure projects, including machine learning operations and observabilityThis 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 experienceDeep understanding of classification models, forecasting models and ML techniquesDeep understanding of causal inference, experiment design and measurementsDeep understanding of optimization, including familiarity with formulating and solving constrained optimization problemsAdvanced with SQL and PythonCompensation and Benefits:Very competitive salary and equity100% medical, dental & vision insurance coverage for you; 50% for dependentsUnlimited PTO401(k)Extended maternity and paternity leaveRelocation supportSabbatical programApply for this Job