Senior/Staff Data Scientist, Consumer Apps - Klover

About the role

Attain is seeking a Senior/Staff Data Scientist to support the growing needs of our suite of B2C financial services. This role will be highly hands-on, focused on building, improving, validating, and deploying predictive models that power consumer decisioning and business optimization across our app portfolio. You will work on advanced machine learning and statistical modeling problems, including cash-flow based credit decisioning for our earned wage advance product, Klover, as well as consumer behavior modeling, transaction categorization, paycheck detection, fraud scoring, churn prediction, and other high-impact predictive modeling use cases. The ideal candidate combines strong quantitative fundamentals with practical experience building models and analytical systems from scratch. Attain Office Hybrid Schedule: Chicago, IL: 4 days in-office; 1 day remote What a typical week might look like Hands-on development of ML and statistical models at the core of our EWA product, with a focus on fast, rigorous, and high-quality execution Build and improve predictive models across consumer decisioning, consumer behavior modeling, fraud, churn, transaction intelligence, and other business-critical use cases Own the full model development lifecycle, including data exploration, feature engineering, model training, validation, deployment, monitoring, and retraining Develop reusable modeling pipelines, analytical tools, and production-quality code to support scalable data science work Apply strong statistical and mathematical judgment to model evaluation, calibration, robustness testing, and business impact measurement Collaborate with data analysts, engineers, product managers, and business stakeholders to deliver ML models with quality, efficiency, and precision Identify new areas where data science, predictive modeling, and optimization can improve product and business outcomes