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JPMorganChase

Data Scientist Lead

Reposted 9 Hours Ago
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Hybrid
Bengaluru, Karnataka
Senior level
Hybrid
Bengaluru, Karnataka
Senior level
As a Lead Data Scientist, you will develop insights and tracking mechanisms to support JPMorgan Chase's Data Strategy, applying advanced data science methods and statistical rigor. Your responsibilities include collaborating with business partners, developing analysis structures, maintaining data visualization tools, and engineering machine learning solutions to support decision-making across systems.
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Job Description
Are you ready to drive innovation in data science and analytics? Join the Chief Data & Analytics Office at JPMorgan Chase, where your expertise will accelerate our data journey and enhance decision-making. We offer a collaborative environment that fosters career growth and empowers you to make a significant impact. Be part of a team that leverages AI and machine learning to support commercial goals and risk management.
Job Summary:
As a Lead Data Scientist within the Strategy and Execution team, you will develop insights and tracking mechanisms to support our Firmwide Data Strategy. You will work across various systems to identify data needs, design analyses, and synthesize insights for senior leadership. Your role involves applying statistical rigor and advanced data science methods across Cloud and on-premise systems, promoting decision-making through insight.
Job Responsibilities:

  • Drive the development and delivery of data science-driven solutions to measure our Data Strategy progress.
  • Collaborate with business partners to understand their systems and processes.
  • Develop structured insights from data analysis and modeling exercises about critical strategic initiatives.
  • Develop and maintain data visualization tools for telemetry.
  • Engineer machine learning solutions to automate telemetry systems.
  • Stay informed about the latest trends in AI/ML/LLM/GenAI research and operate with a continuous-improvement mindset.


Required Qualifications, Capabilities, and Skills:

  • Formal training or certification as a Data Scientist and 5+ years of applied experience.
  • Foundational knowledge of ML projects, both supervised and unsupervised.
  • Strong programming skills with Python, R, or other equivalent languages.
  • Strong solution ideation, problem-solving, communication, and teamwork skills.


Preferred Qualifications, Capabilities, and Skills:

  • Familiarity with machine learning engineering and developing/implementing machine learning models within AWS or other cloud platforms.
  • Familiarity with the financial services industry.


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 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.

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