Data Scientist-Senior Associate

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 be undertaking advanced analytics to derive actionable insights to support our HL Sales strategy and optimization. You’ll need to combine strong data manipulation, quantitative analysis, business acumen, and a focus on problem-solving to drive meaningful insights that enable the firm to drive incremental value and an outstanding customer experience.

Job Responsibilities:

• Deliver advanced analytics and data-driven solutions for a wide range of HL Sales business challenges.
• Work with both internal & 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 & 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.

Required Qualifications, capabilities, and skills :

• Undergraduate or advanced degree in an analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research).
• 2+ years experience in data analysis / 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 & data storytelling skills to effectively summarize & 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, capabilities, and skills :

• Experience with cloud platforms (e.g., AWS, Snowflake) for large scale data processing, plus Salesforce for lead management & 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.

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

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 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.