Senior/Staff Data Scientist Consumer Apps - Klover

About Attain

Built for consumers and companies alike. 

Klover’s engineering team powers one of the fastest-growing fintech platforms in the U.S. supporting over one million active users each month. 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.

As part of this team you’ll help design build and scale the systems that underpin Klover’s core products and platform. You’ll work on high-impact production-grade systems that prioritize reliability security and performance and that integrate with a broad ecosystem of internal and external services. The work you do will directly shape how users interact with Klover’s products access their money and experience transparent low-fee financial services.

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.

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

Preferred Qualifications 

• 5+ years of direct experience working as a Data Scientist Machine Learning Scientist Model Developer Applied Scientist Economist or similar role on relevant business problems
• 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
• Strong expertise developing validating deploying and monitoring machine learning models in production
• 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
• Solid foundation in statistics probability mathematics and machine learning fundamentals
• Strong Python coding skills with the ability to build models pipelines and analytical tools from scratch
• 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; GCP preferred
• Familiarity with version control peer code review and collaborative software development practices
• Demonstrated ability to learn new technologies applications and modeling approaches quickly
• Willingness to roll up your sleeves and wear multiple hats across data science analytics modeling and technical execution based on business needs
• Strong written and verbal communication skills including the ability to explain technical topics to both technical and non-technical audiences

We’re excited to hear from you. 

At Attain we are passionate about finding people to continuously help us grow our organization. We encourage you to apply even if your experience doesn’t match every detail of the job description. If we don’t see something that immediately fits we will keep your resume on file for future opportunities.

What We Do

Attain is the most trusted and comprehensive source for permissioned real-time purchase data in the United States. By connecting directly with over 10 million consumers Attain delivers unmatched accuracy and scale across audience activation insights and in-flight optimization and measurement helping marketers tie every dollar of media to real-world sales outcomes. Attain’s portfolio of owned and operated apps spanning financial wellness and shopping rewards empowers consumers to receive everyday value in exchange for the explicit permission to use their data for research insights and targeted advertising.

Why Work With Us

At Attain your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You’ll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.

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