Job Description
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Data Scientist Lead within 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 combines consulting expertise, analytical proficiency, and hands-on technical skills to drive strategic initiatives across various business functions.
Job responsibilities
- Lead teams of data scientists to develop, plan, and deliver end-to-end analytical projects as team lead and, when necessary, as 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
- 10+ 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, and A/B testing methods.
- Excellent communication skills, with an ability to convey complex information in an understandable, compelling, and persuasive manner to non-technical clients, executives, and junior data scientists.
- Involved with multiple analytical projects, ranging from business intelligence to data engineering and infrastructure, to higher-order modeling, including model deployment and maintenance.
- Proficiency in SQL, Python, Tableau, plus big data technologies such as Hive, Hadoop, and Spark.
- Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science).
Preferred Qualifications, Capabilities, and Skills
- Advanced degree in a relevant quantitative field (e.g., Statistics, Economics, Applied Math, Operations Research, Physics, Data Science).
- Direct people management experience.
- Financial services experience.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.
