Data Scientist Senior Associate

JPMorgan Chase & Co.; Plano (TX); On-site; USD 99,000 - 121,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Data Scientist within the Auto Finance Data & Analytics team to drive advanced analytics and AI/ML initiatives that support product teams and growth.

You will partner with Product, Technology, Design, Risk, and other teams to translate business questions into AI/ML solutions and analytical products.

Qualifications

• 3+ years relevant experience in AI/ML, data science, or related fields.
• Strong background in analyzing and translating digital customer behavior data into actionable insights for business leaders.
• Proficient in developing predictive models and utilizing ML algorithms for classification problems.
• Solid understanding of statistical concepts for data analysis and A/B testing design/evaluation.
• Experience with Adobe Analytics, Tableau, Alteryx, SQL, Python, and AWS.
• Expertise in prompt engineering and AI-assisted development to improve output quality and productivity.
• Experience in building Conversational AI applications and orchestrating AI/ML services.
• Demonstrated initiative in learning and applying AI/LLM technologies to business problems.
• Skilled in synthesizing and presenting insights to executives and cross-functional teams.

Responsibilities

• Conduct deep-dive analyses to generate actionable insights and recommendations that streamline business processes and uncover areas for product innovation.
• Present insights and recommendations to Auto Business leaders using data-driven storytelling to guide strategic direction.
• Partner with Business, Product and Technology teams to implement data-driven strategies and models that drive growth and engagement.
• Develop and apply advanced statistical analyses and mathematical models to analyze complex data trends.
• Leverage AI tools to accelerate analysis and identify opportunities for innovation.
• Understand end-to-end digital customer engagement funnel and derive insights on improving conversion rates.
• Evolve and refine measurement frameworks and KPIs for customer measurement and highlight anomalies to senior leaders.

Skills

AI/ML experience

Data analysis

Data storytelling

KPI definition

Experimentation

Prompt engineering

Communication with leadership

Tools

Adobe Analytics

Tableau

Alteryx

SQL

Python

AWS

LLM Suite

GitHub Copilot

VS Code

Job description

As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advance analytics and AI/ML to support product teams, build analytical solutions, guide strategic business decisions, and enable growth initiatives.

You will partner closely with Product, Technology, Design, Risk, and other cross-functional teams to translate complex business questions into analytical and AI/ML solutions. The ideal candidate is a hands-on analytics practitioner who combines strong technical skills, business judgment, intellectual curiosity, and a passion for applying modern analytics and technology to deliver business outcomes.

Job Responsibilities:

• Conduct deep-dive analyses to generate actionable insights and recommendations that streamline business processes and uncover potential areas for product innovation and growth
• Present insights and recommendations to Auto Business leaders using data-driven storytelling to help guide the strategic direction of the organization
• Partner with Business, Product and Technology teams to implement data-driven strategies and models/algorithms that drive business growth and customer engagement
• Develop and apply advanced statistical analyses and mathematical models to analyze complex data trends and patterns
• Leverage AI tools (e.g., LLM Suite, GitHub Copilot, etc.) to work more efficiently, accelerate analysis, and identify opportunities for innovation
• Understand end-to-end digital customer engagement funnel and derive insights on how to improve conversion rates
• Evolve and refine measurement frameworks and KPIs for customer measurement, highlighting anomalies or trends to senior leaders

Required qualification, capabilities and skills:

• 3+ years relevant experience in AI/ML, data science, orrelated fields.
• Strong background in analyzing and translating digital customer behavior data into actionable insights and recommendations for Business leaders. Experience defining KPIs, measurement frameworks, and anomaly monitoring for digital products.
• Proficient in developing predictive models and utilizing ML algorithms such as logistic regression, KNN, random forest, and Gradient boosting for classification problems.
• Solid understanding of statistical concepts for data analysis and experience with designing and evaluating A/B experiments.
• Experience with Adobe Analytics, Tableau, Alteryx, SQL, Python, and AWS.
• Expertise in prompt engineering and AI-assisted development using LLM Suite, GitHub Copilot Skills, VS Code, etc. to improve LLM output quality and reliability while boosting daily workflow productivity and innovation.
• Experience in building Conversational AI applications and in orchestrating AI/ML services for building a complete solution.
• Demonstrated initiative in learning and applying AI/LLM technologies to business problems and projects.
• Skilled in synthesizing and presenting business insights, recommendations and complex analytical results to executives, business partners, and technical resources across various teams.