Data Scientist-Senior Associate

About the role

Transform business challenges into data-driven solutions—your insights will fuel growth and competitive advantage. As a Data Scientist on the Home Lending (HL) Data & Analytics team, you'll undertake advanced analytics to derive actionable insights supporting our HL Sales strategy and optimization. You'll combine strong data manipulation, quantitative analysis, business acumen, and problem-solving to drive meaningful insights that enable the firm to create incremental value and an outstanding customer experience.

Responsibilities

• Deliver advanced analytics and data-driven solutions for a wide range of HL Sales business challenges.
• Work with both internal and external data sources and tools to explore, assemble, organize, and analyze data.
• Perform descriptive, diagnostic, and predictive analyses to uncover trends, patterns, and actionable business insights.
• Utilize data visualization tools to communicate actionable insights and tell an effective story to business stakeholders.
• Identify opportunities to develop and enhance business intelligence and automated reporting to facilitate decision-making for business partners.
• Build analytical frameworks to support strategic and complex business priorities.
• Collaborate with team members and business/technical partners on the data foundation and the use of AI to automate and develop innovative solutions for the HL business.

Requirements

• Undergraduate or advanced degree in an analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research).
• 2+ years of experience in data analysis or data science.
• Proficiency using SQL, Python, MS Excel, and visualization tools for data manipulation, analysis, and visualization.
• Critical thinking and proven ability to connect data analysis to business strategies and deliver results that drive measurable impact.
• Excellent communication and data storytelling skills to effectively summarize and deliver actionable insights to business stakeholders.
• Ability to analyze complex problems, dive deep into data, and design innovative solutions.
• A relentless curiosity to understand the "why" behind data patterns.

Preferred Qualifications

• Experience with cloud platforms (e.g., AWS, Snowflake) for large-scale data processing, plus Salesforce for lead management and sales.
• GitHub for problem-solving and collaborative project experience.
• Strong ability and experience using visualization tools, including new products with AI/Gen-AI data-talk and natural language capabilities.
• Background in financial services, plus experience in the Mortgage Business.

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.

Our Consumer & Community Banking division serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. We 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 disciplines from data governance and strategy to reporting, data science, and machine learning. We partner with Technology to provide cutting-edge data and analytics infrastructure, powering Chase with insights to create the best customer and business outcomes.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity, awarded for individual achievements and contributions. 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.