Data Scientist I

Job not on LinkedIn

🔥 5 minutes ago

🌵 Arizona, Kentucky, +4 more states – Remote

🌵 Arizona – Remote 🐎 Kentucky – Remote 🚗 Michigan – Remote 🔔 Pennsylvania – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote

💵 $57.6k - $106.3k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 4%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 32 days.

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Pathward

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

Pathward is a federally registered financial institution that provides robust banking infrastructure, proven technology resource partners, and dynamic collaboration to assist third-party partners in delivering banking programs that meet customer demands. The company focuses on providing a variety of financial solutions including issuing, acquiring, digital payments, credit solutions, and professional tax solutions, among others. Additionally, Pathward supports commercial finance through working capital, equipment finance, structured finance, and insurance premium finance. Committed to financial inclusion, Pathward powers financial access and innovation through strategic partnerships, including efforts to support renewable energy loan growth.

📋 Description

• 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

🎯 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 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 • Health insurance • 401(k) retirement benefits • Life insurance • Disability benefits • Paid time off • Comprehensive benefits package for eligible employees

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