Data Scientist I

Pathward, N.A.

11h • $57,582 - $106,345 • Hybrid

About The Position

The Data Scientist I supports analytical solutions, model and partner oversight, data quality, and decision-making across the organization. The role combines hands-on data analysis with partner onboarding and monitoring, business-focused data quality investigation, model monitoring, and technical documentation.

The successful candidate works with Data Science, business, risk, technology, and external partners to analyze data, identify issues and opportunities, monitor performance, and document analytical solutions. The role also uses approved AI and productivity tools to improve the efficiency and quality of analysis, coding, and documentation.

Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, Business Analytics, or a related quantitative field.
• Up to 2+ years of relevant professional, internship, research, or project experience.
• Experience working with large datasets and applying analytical or statistical methods to business problems.
• Hands-on experience with Python and SQL for data analysis, validation, and automation.
• Strong analytical and problem-solving skills, including the ability to connect technical findings to business processes and outcomes.
• Experience with data profiling, reconciliation, root-cause analysis, and data quality validation.
• Strong written communication skills and the ability to produce detailed technical and analytical documentation.
• Ability to manage multiple analytical, monitoring, and documentation responsibilities with strong attention to detail.
• Curiosity and willingness to learn new business areas, analytical techniques, technologies, and AI-enabled tools.
• Strong collaboration skills and ability to work effectively with business and technical stakeholders.

Nice To Haves

• Experience or familiarity with Python, SQL, Snowflake, and AWS in an analytical or Data Science environment.
• Experience in banking, financial services, fintech, consumer credit, payments, fraud, or other regulated industries.
• Experience with partner onboarding, partner/model oversight, portfolio monitoring, or model governance.
• Familiarity with predictive modeling and model-performance measures such as AUC, KS, stability, approval rates, and portfolio performance.
• Experience with Power BI or similar visualization tools.
• Familiarity with Git/version control and reproducible development practices.
• Experience using generative AI tools for coding, analysis, research, or technical documentation with appropriate human review.

Responsibilities

• Analyze large and complex datasets using statistical, predictive, and other analytical techniques to generate actionable business insights.
• Support the development, testing, implementation, and monitoring of predictive models and analytical solutions.
• Support partner model and program onboarding, oversight, and ongoing monitoring, including data validation, performance analysis, documentation, and issue resolution.
• Perform business-contextualized data quality analysis, identifying root causes, downstream impacts, and opportunities to improve data reliability and usability.
• Develop and maintain monitoring processes for models, partner portfolios, products, and critical data.
• Create technical documentation covering data, methodologies, business requirements, testing, model performance, monitoring, assumptions, and limitations.
• Use approved AI-assisted tools to improve documentation, coding, analysis, quality assurance, and workflow efficiency while independently validating outputs.
• Collaborate with business, risk, compliance, technology, operations, vendors, and external partners to implement and maintain analytical solutions.
• Develop reusable and automated processes to improve monitoring, reporting, data validation, and Data Science workflows.
• Communicate analytical findings, risks, and recommendations clearly to technical and nontechnical stakeholders.

Benefits

• Health insurance
• 401(k) retirement benefits
• Life insurance
• Disability benefits
• Paid time off
• Annual performance-based incentive opportunity
• Other benefits as part of a comprehensive benefits package for eligible employees

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level