Python Developer - Data & AI
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Join a team that partners across the enterprise to solve high-impact, data-intensive problems with decision science and machine learning. You will lead work that turns ambiguous, unstructured questions into practical solutions that improve how decisions get made. This role combines hands-on technical leadership with strong stakeholder partnership to deliver measurable outcomes. If you thrive in complexity and enjoy building scalable products, you will find a strong platform to grow your impact here.
As a Senior Manager, Applied Machine Learning - Vice President at JPMorganChase within the Consumer and Community Banking (CCB) Data Science organization, you will partner with business leaders to identify and solve complex, high-impact problems using machine learning and advanced analytics. You will lead the end-to-end delivery of solutions from problem framing and experimentation through production deployment and monitoring. You will guide teams to develop scalable approaches that support faster, more informed decision-making across enterprise functions. You will influence prioritization, timelines, and delivery by communicating tradeoffs, results, and next steps to senior stakeholders.
Job Responsibilities
Required qualifications, capabilities and skills
Preferred qualifications, capabilities and skills
This role is 5 days a week full time in the office.
This role is not eligible for visa sponsorship now or in the future. Sponsorship includes, but is not limited to, support for I-983 training plans, F-1/OPT or CPT, H-1B, TN and any other employment authorization or immigration-related action requiring JPMorganChase sponsorship or intervention.
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JPMorgan Chase is a global financial services firm and one of the largest banks in the United States.
JPMorgan Chase serves consumers, businesses, corporations, governments, and institutions through banking, payments, markets, securities services, and asset and wealth management.
180K – 232K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 25 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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