[Remote] Data Scientist I

Note: The job is a remote job and is open to candidates in USA. Pathward is hiring a Data Scientist I to support analytical solutions, model and partner oversight, data quality, and organizational decision-making. The role analyzes data, monitors models and partner performance, investigates data quality issues, documents analytical work, and collaborates with internal teams and external partners.

Responsibilities

• Analyze large and complex datasets using statistical, predictive, and other analytical techniques to generate actionable business insights
• Support 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 data quality analysis with business context, 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 comprehensive 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

Skills

• 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 with 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 with 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
• 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

Benefits

• Annual performance-based incentive opportunity
• Eligible employees receive health insurance, 401(k) retirement benefits, life insurance, disability benefits, paid time off, and more.
• Hybrid, remote-office work arrangement

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