Data Scientist Lead - CDAO
Data Science
Mumbai, Maharashtra, India · Bengaluru, Karnataka, India
Are you ready to turn complex data into clear, measurable progress? Join JPMorganChase’s Chief Data & Analytics Office, where you’ll help accelerate the firm’s data and analytics journey through high-impact insights and practical measurement solutions. You’ll work in a collaborative team that values curiosity, rigor, and continuous improvement. This is an opportunity to grow your influence while partnering across functions and presenting outcomes to senior leaders.
Job Summary:
As a Data Strategy Analytics Vice President within the Strategy and Execution team, you will develop insights and tracking mechanisms that support execution of our firmwide data strategy. You will partner with stakeholders to identify the right data across systems, design analyses and reporting, and synthesize actionable insights for senior leadership. You will combine statistical rigor with hands-on data science methods to build scalable telemetry and measurement solutions. You will contribute to a team culture that uses evidence to drive decisions and continuously improves how we measure impact.
Job Responsibilities
- Drive the development and delivery of data science solutions that measure progress against the firmwide data strategy.
- Partner with stakeholders to understand business processes, systems, and measurement needs.
- Identify, source, and integrate data across cloud and on-premise environments to support strategic analytics.
- Design and deliver analyses and models that produce structured, decision-ready insights.
- Build and maintain dashboards and visualization tools that track telemetry and progress.
- Develop machine learning solutions that automate telemetry and measurement workflows.
- Present findings clearly through written narratives and presentations tailored to the audience.
- Apply statistical rigor, testing, and validation practices to ensure trustworthy results.
- Monitor emerging AI/ML/LLM/GenAI trends and evaluate practical applications to measurement and insight delivery.
- Improve existing analytics products through iteration, feedback, and performance monitoring.
Required Qualifications, Capabilities, and Skills
- 5 years of experience as a data scientist or in an adjacent quantitative role.
- Demonstrated experience delivering end-to-end analytics or data science solutions from problem framing through insight delivery.
- Foundational knowledge of supervised and unsupervised machine learning techniques.
- Proficiency in Python, R, or an equivalent programming language for data analysis and modeling.
- Experience working with structured and/or unstructured data across multiple sources.
- Ability to translate complex analysis into clear, actionable recommendations for technical and non-technical audiences.
- Strong problem-solving skills and structured thinking in ambiguous environments.
- Strong written and verbal communication skills, including presenting to senior stakeholders.
- Strong collaboration skills and ability to work effectively across teams.
Preferred Qualifications, Capabilities, and Skills
- Experience developing and implementing machine learning solutions in AWS or another cloud platform.
- Familiarity with machine learning engineering concepts (e.g., deployment patterns, monitoring, automation).
- Familiarity with financial services data, products, or operating environments.
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.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Shape our firmwide data strategy with hands-on analytics, telemetry, and ML—delivering insights that drive leadership decisions.