Lead Data Scientist

Data Scientist for OperationsAre you passionate about applying data science and AI to optimize process engineering and shape client experiences at scale? If you enjoy solving complex business problems analytically, using AI in your day-to-day workflow, and influencing strategy for a critical line of business, then this opportunity is for you.As a Data Scientist for Operations on our Home Lending Data and Analytics team, you'll have the opportunity to be at the forefront of building a best-in-class, automated, digital-led Home Lending business, focused on deepening relationships with our more than 70 million Chase households. You'll need to partner cross-functionally to establish product analytics foundations, develop scalable machine learning and trigger-driven capabilities, and support testing and experimentation to improve measurable outcomes. You will incorporate AI-native thinking, including practical application of AI in everyday analysis, decision support, and innovation, as well as a strong curiosity to identify, prototype, and scale new agentic use cases that improve product and client outcomes. You'll need to be an avid learner with a growth mindset that's eager to apply data science and AI to help launch and evolve the top prioritized automation and customer relationship opportunities in Home Lending.Job Responsibilities:Collaborate with product, strategy, and operations teams to provide analytical support for Home Lending Operations initiatives and decision-makingApply statistical methods, data analysis, and AI-assisted approaches to solve business problems related to product performance, client engagement, and operational efficiency outcomesSupport end-to-end analytics delivery, from problem framing and measurement design through insight generation and communication to senior stakeholdersDevelop and refine analytics approaches for machine learning and trigger capabilities that help improve the operations process in a scalable, sustainable mannerPartner cross-functionally to set up day-one measurements, including tracking, data quality, and KPI frameworks across operational and product dimensions.Operationalize experimentation frameworks to evaluate product and operations enhancements, quantify impact, and inform prioritization.Analyze client experience and journey outcomes, including AI-enabled discovery, to identify opportunities for improvement and measurable value creationIdentify and develop high-value AI and agentic use cases that can improve analytical productivity, decision quality, and customer outcomesRequired qualifications, capabilities, and skills:Bachelor's degree in quantitative field (Computer Science, Engineering, Operations Research, Statistics, Economics, Math, Physics or related discipline) and 5 years of experience in advanced analytics rolesStrong proficiency in statistical analysis, hypothesis testing, predictive modeling, and experimental design for product and customer use casesTalented in data querying, transformation, and analysis using modern analytical tools and programming languages (Python and SQL)Demonstrated AI fluency, including ability to use AI tools effectively in day-to-day analytical work to accelerate insight generation and improve solution qualityCompetent leveraging data visualization tools such as TableauExperience translating ambiguous business questions into structured analytical approaches and actionable recommendationsStrong data storytelling capabilities, including communicating complex concepts to audiences of varying levels across business and technical functionsDemonstrated ability to work in cross-functional environments, align stakeholders, and deliver high-quality outputs in a dynamic product settingStrong commitment to iterative development and measurable outcomes, with the ability to incorporate feedback and continuously improve analytical and AI-enabled solutionsDemonstrated learning agility and curiosity to stay current on AI advances and apply them responsibly in a regulated environmentPreferred qualifications, capabilities, and skills:Banking industry/product knowledge desiredExperience supporting product analytics, product launch measurement, and experimentation in client-facing businessesExperience presenting analytical insights and recommendations to senior leaders and cross-functional decision-makersFamiliarity with analytics approaches such as customer journey optimization, lead management, and performance measurement frameworksExperience developing, testing, or scaling AI-enabled and agentic use cases in business workflowsExperience partnering with product and technology teams to translate AI opportunities into practical, measurable outcomesChase 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/VeteransOur 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.