As a Data Science Manager on the Focused Analytics Solutions Team, you will lead the design, build, and delivery of actionable and end-to-end analytical solutions spanning the analytical spectrum. This role is a mix of consulting know-how (problem solving, thought leadership, communication), analytical proficiency in statistics, data science and machine learning, and, when required, hands-on proficiency in SQL/Python programming, visualization methods and technologies, and data engineering / infrastructure.

Job responsibilities

• Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as a hands-on data scientist
• Serve as a trusted advisor and thought leader by providing expertise throughout project lifecycles, from scoping and planning to generating insights and deploying the solution
• Guide project teams in synthesizing analytical findings for consumption by internal analytical clients and senior executives
• Establish and manage relationships with internal clients and partners
• Recruit, develop and retain talent by creating an environment of open communication that prioritizes continued learning and growth
• Set standards of excellence for the team by demonstrating professional expertise, strong work ethic, integrity and professional behavior
• Maintain a rigorous controls environment to ensure accurate and timely results

Required qualifications, capabilities, and skills

• 5+ years of industry experience in data science or business analytics roles (e.g., marketing analytics, sales analytics, business insights)
• Experience leading project teams and coaching/mentoring early career talent
• Foundational and applied knowledge of statistical, data science, and machine learning methodologies, including:
  • Descriptive, inferential, and causal statistics
  • Predictive modeling
  • Optimization modeling
  • Generative AI & Large Language Models
  • A/B testing methods
• Excellent communication, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists
• Familiarity with a variety of analytical project types, ranging from business intelligence, to data engineering and infrastructure, to higher order modeling, including model deployment and maintenance
• Proficiency in SQL and Python, plus big data technologies such as Hive, Hadoop, and Spark
• Bachelor's degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)

Preferred qualifications, capabilities, and skills

• Advanced degree in relevant quantitative field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science)
• Direct people management experience
• Financial services experience

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 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 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.