Role Overview
The Data Scientist I supports analytical solutions, model and partner oversight, data quality, and decision-making across the organization. This role combines hands-on data analysis with partner onboarding and monitoring, business-focused data quality investigation, model monitoring, and technical documentation.
What You Will Do
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.
Why It Might Be a Fit
The successful candidate will work with Data Science, business, risk, technology, and external partners to analyze data, identify issues and opportunities, monitor performance, and document analytical solutions.
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
- Comprehensive benefits package
- Health insurance
- 401(k) retirement benefits
- Life insurance
- Disability benefits
- Paid time off
To apply for this job please visit job-boards.greenhouse.io.
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