Data Scientist Senior Associate

JPMorgan Chase & Co.; Plano (TX); On-site; USD 120,000 - 210,000; Full time

Benefits offered by this job

Health coverage

Retirement plan

Tuition reimbursement

Job summary

Chase is seeking a Data Scientist for the Auto Finance Data & Analytics team to apply AI/ML and advanced analytics to guide product decisions and growth initiatives. You will partner with Product, Technology, Design, Risk, and other teams to translate business questions into analytical solutions and data-driven strategies.

The role requires hands-on experience in predictive modeling, analytics tools, and MVP AI solutions, plus strong storytelling to executives.

Qualifications

• 3+ years of experience in AI/ML, data science, or related fields.
• Experience translating digital customer behavior data into actionable insights.
• Proficient in developing predictive models and ML algorithms for classification.
• Experience designing and evaluating A/B experiments.

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 Skills, etc.) to work more efficiently and accelerate analysis.
• 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, highlighting anomalies or trends to senior leaders.

Skills

AI/ML

Data Science

KNN

Random Forest

Gradient Boosting

Python

SQL

AWS

Adobe Analytics

Tableau

Prompt Engineering

Tools

Adobe Analytics

Tableau

Alteryx

SQL

Python

AWS

Job description

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, or related 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.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly levers data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.