Staff Data Scientist/ML Engineer

Senior Data Scientist (Credit & ML Systems)New York City (In-Office) | Full-Time | $180k–$250k Base + Bonus + EquityAbout the CompanyWe’re partnered with a high-growth consumer platform using data and machine learning to expand access to credit and purchasing power across emerging markets.The company has already scaled to hundreds of millions in annualized transaction volume and tens of millions in revenue, while building a modern alternative to traditional lending products.Backed by top-tier investors, the team is lean, highly analytical, and deeply product-focused, with leadership experience from some of the world’s most recognizable technology companies.Data Science sits at the core of the business - underwriting quality, pricing accuracy, experimentation, and portfolio performance directly impact growth and profitability across the platform.The RoleThis is a high-impact Data Science role focused on building machine learning and optimization systems that power underwriting, personalization, pricing, and portfolio management decisions.You’ll work across the full lifecycle of modeling and experimentation — from causal inference and forecasting to production ML systems and observability. This role requires strong technical depth alongside the ability to communicate insights clearly across product, engineering, and business teams.What You’ll Be DoingDevelop machine learning and causality models used for underwriting and portfolio management decisionsBuild credit, personalization, ranking, and pricing algorithmsDesign and analyze experiments to guide product and algorithm decisionsLead machine learning infrastructure initiatives, including ML operations and observabilityWork with large-scale transactional and behavioral datasets to drive business performancePartner cross-functionally with engineering, product, and business stakeholdersWhat They’re Looking For5+ years of Data Science experienceStrong background in machine learning, forecasting, and statistical modelingDeep understanding of causal inference, experimentation, and measurement methodologiesExperience formulating and solving optimization problemsAdvanced Python and SQL skillsStrong communication skills with the ability to drive business impact through analysisNice to HaveExperience in lending, credit, consumer finance, or marketplace environmentsExposure to pricing or recommendation systemsExperience working with ML infrastructure or production ML systemsBackground in fast-paced, high-growth technology companiesWhy This RoleDirect impact on underwriting, pricing, and portfolio performance at scaleOpportunity to work on complex ML and optimization challenges tied directly to revenue and growthLean, highly technical team with strong ownership and autonomyCompetitive compensation, equity, and strong benefits package