Attain
Senior/Staff Data Scientist, Consumer Apps - Klover
Chicago, IL · Staff+
Sponsorship not specifiedDetected 79 days ago
PythonCode ReviewSQLGCPMachine LearningData ScienceLLMsMLOpsStatisticsResearchCommunicationCritical ThinkingRisk Modeling
About the role
- Chicago, IL: 4 days in-office; 1 day remote
Responsibilities
- 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
- Collaborate with data analysts, engineers, product managers, and business stakeholders to deliver ML models with quality, efficiency, and precision
- As part of this team, you'll help design, build, and scale the systems that underpin Klover's core products and platform.
- Klover engineers collaborate closely with colleagues across backend, frontend, data science, and product teams to deliver scalable, high-quality solutions for a rapidly growing user base.
- You'll have the opportunity to work with modern technologies and architectures while helping define and evolve the next generation of inclusive, data-powered financial products-building systems and interfaces that emphasize reliability, privacy, and performance at scale.
Nice to have
- Strongly preferred: Master's, or Ph.D. in a STEM field such as Computer Science, Statistics, Economics, Mathematics, Engineering, Physics, Operations Research, or a related quantitative field
- Demonstrated ability to apply critical thinking, causal inference, abstract reasoning, and generalization to complex, ambiguous business and technical problems
- Experience with AI/ML-assisted development tools and MLOps practices, including experience working with large language models (LLMs) or autonomous agents for code generation and model refinement
- Experience with predictive modeling, consumer behavior modeling, risk modeling, credit decisioning, fraud modeling, churn modeling, or other high-impact applied ML use cases
- Strong SQL skills and experience working with large, messy, real-world datasets
- Experience with feature engineering, model evaluation, calibration, monitoring, retraining, and model performance diagnostics
- Experience with cloud computing services or platforms
- Familiarity with version control, peer code review, and collaborative software development practices
Skills
- 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
- Apply strong statistical and mathematical judgment to model evaluation, calibration, robustness testing, and business impact measurement
- Identify new areas where data science, predictive modeling, and optimization can improve product and business outcomes
Compensation
- Our systems process and move more than $1.5 billion annually, enabling real-time access to financial tools, rewards, and services that help people improve their day-to-day lives.
Company info
- Attain is seeking a Senior/Staff Data Scientist to support the growing needs of our suite of B2C financial services.
This listing is sourced directly from Attain's careers page and normalized into a canonical job model.