Data Scientist Senior Associate

hackajob · Plano, TX · 1 wk ago

On-siteEngineeringFull-time

About the role

As a Data Scientist within the Auto Finance Data & Analytics team, you will leverage advanced 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.

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 the 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.

Requirements

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.

The 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 leverages 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.

Benefits