Role Overview
As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advanced analytics and artificial intelligence and machine learning (AI/ML) to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives.
What You Will Do
Conduct deep-dive analyses to generate actionable insights and recommendations that streamline processes and uncover opportunities for product innovation and growth. Present insights and recommendations to business leaders using clear, data-driven storytelling to help guide strategic direction.
Why It Might Be a Fit
You will thrive here if you enjoy owning analyses end-to-end and applying modern machine learning to real customer problems.
Requirements
- Three years of relevant experience in data science, machine learning, or a related field.
- Demonstrated experience translating digital customer behavior data into actionable insights and recommendations for business leaders.
- Demonstrated experience defining key performance indicators, building measurement frameworks, and monitoring for anomalies in digital product performance.
- Proficiency developing predictive models and applying classification algorithms (for example, logistic regression, k-nearest neighbors, random forest, and gradient boosting).
- Solid understanding of statistical concepts for data analysis and experience designing and evaluating A/B experiments.
- Hands-on experience with SQL and Python for data extraction, analysis, and model development.
- Experience using analytics and visualization tools such as Adobe Analytics and Tableau (or equivalent tools).
- Strong ability to synthesize complex analytical results and communicate recommendations to executive, business, and technical stakeholders.
Benefits
- Comprehensive health care coverage
- On-site health and wellness centers
- Retirement savings plan
- Backup childcare
- Tuition reimbursement
- Mental health support
- Financial coaching
To apply for this job please visit jpmc.fa.oraclecloud.com.

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