Data Scientist I

This is a fully remote position, open to applicants in Arizona, +5 more states.

📋 Description

• Evaluate extensive and intricate datasets utilizing statistical, predictive, and various analytical techniques to derive actionable insights for the business.

• Assist in the development, testing, implementation, and monitoring of predictive models and analytical solutions.

• Facilitate partner model and program onboarding, oversight, and continuous monitoring, which includes data validation, performance analysis, documentation, and resolution of issues.

• Conduct data quality assessments within a business context, identifying root causes, downstream effects, and opportunities to enhance data reliability and usability.

• Create and sustain monitoring processes for models, partner portfolios, products, and essential data.

• Generate thorough technical documentation that encompasses data, methodologies, business requirements, testing, model performance, monitoring, assumptions, and limitations.

• Utilize approved AI-assisted tools to enhance documentation, coding, analysis, quality assurance, and workflow efficiency, while independently verifying outputs.

• Collaborate with business, risk, compliance, technology, operations, vendors, and external partners to implement and sustain analytical solutions.

• Develop reusable and automated processes to enhance monitoring, reporting, data validation, and Data Science workflows.

• Clearly communicate analytical findings, risks, and recommendations to both technical and non-technical stakeholders.

⛳️ Requirements

• A Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, Computer Science, Finance, Business Analytics, or a related quantitative discipline.

• Up to 2+ years of pertinent professional experience, which may include internships, research, or project work.

• Experience in handling large datasets and applying analytical or statistical techniques to business challenges.

• Practical experience with Python and SQL for data analysis, validation, and automation.

• Strong analytical and problem-solving abilities with a knack for linking technical findings to business processes and outcomes.

• Experience in data profiling, reconciliation, root-cause analysis, and data quality validation.

• Excellent written communication skills, capable of producing detailed technical and analytical documentation.

• Ability to juggle multiple analytical, monitoring, and documentation tasks with a keen eye for detail.

• A genuine curiosity and eagerness to learn about new business domains, analytical techniques, technologies, and AI-enabled tools.

• Strong teamwork skills and the ability to work effectively with both business and technical stakeholders.

• Familiarity or experience with Python, SQL, Snowflake, and AWS within an analytical or Data Science context.

• Background in banking, financial services, fintech, consumer credit, payments, fraud, or other regulated sectors.

• Experience with partner onboarding, partner/model oversight, portfolio monitoring, or model governance.

• Understanding of predictive modeling and model performance metrics such as AUC, KS, stability, approval rates, and portfolio performance.

• Proficient in 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 oversight.

🏝️ 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.