Data Scientist – Credit & Risk Modeling (Remote, US)? High-Growth FinTech | Consumer Lending | RemoteA rapidly growing, technology-driven consumer lending platform is seeking a Data Scientist to design, implement, and optimize the machine learning models that power its personal loan business. This is a high-impact, hands-on role with visibility, autonomy, and the chance to influence business strategy while collaborating across Marketing, Credit, Technology, and Compliance teams.What You’ll DoDevelop, implement, and monitor performance of machine learning models across the loan lifecycleDesign and run A/B testing frameworks to validate hypotheses and drive continuous improvementExplore and analyze data to uncover new opportunities for enhancing model performance and business impactCollaborate with cross-functional teams to define KPIs and shape product strategyPartner with Technology teams to build scalable data science pipelines for continuous model testing and optimizationEnsure proper documentation, governance, and model validation in line with financial services regulationsWhat We’re Looking ForDegree in Data Science, Statistics, Applied Mathematics, Economics, Computer Science, or a related field4–6 years of experience in Data Science, Analytics, or related roles, ideally within FinTech or online lendingStrong Python skills for programming, data analysis, and predictive modelingProficiency in SQL, Excel, and experience with data visualization toolsHands-on experience with applied statistical methods and predictive modeling techniques, including linear models, decision trees, boosting, and ensemble methodsKnowledge of optimization, stochastic processes, experimental design, A/B testing, and bootstrappingStrong analytical mindset and ability to translate complex data into clear insights
Connor Nurse