WFP Lead Data Scientist - Vice President

JPMorgan Chase & Co. • Wilmington, DE

5h • Onsite

About The Position

The Workforce Planning (WFP) organization is part of the Consumer and Community Banking Operations division and provides quantitatively driven solutions for demand forecasting, capacity planning, resource scheduling, and business analysis and support. WFP supports Chase call centers, back office operations, and approximately 5,200 retail branches.

As a Data Scientist Lead focused on WFP machine learning, you will work on complex, data-intensive AI and machine learning projects with significant business impact. You will assess unstructured problems, develop practical solution strategies and proposals, analyze results, and review next steps with management for prioritization, timing, and delivery. The AI/ML team builds data science solutions aimed at enabling real-time inference and decision-making.

This is a full-time, in-office position, Monday through Friday; it is not hybrid or remote. The role is part of JPMorganChase's Consumer & Community Banking Data & Analytics team, which uses data and machine learning to support business outcomes and customer protection.

Requirements

• A master's degree and at least 5 years of experience, or a doctorate (PhD) and at least 3 years of experience, as a data science professional or in a related quantitative profession.
• At least 2 years of experience leading AI/ML projects with multiple team members.
• Hands-on experience developing statistical, machine learning, and/or artificial intelligence models.
• Deep understanding of the mathematics and theory behind AI/ML algorithms.
• Proficiency in data science programming languages such as Python, R, or Scala.
• Experience with big-data technologies such as Hadoop, Spark, or SparkML, and familiarity with data table operations such as SQL or Hive.
• Demonstrated relationship-building skills and an ability to achieve outcomes through positive influence.

Nice To Haves

• Advanced expertise in time series and operations research techniques.
• Skills in natural language processing (NLP), natural language generation (NLG), neural networks, or other ML/AI areas.
• Prior experience with public cloud technologies such as AWS, Azure, or Google Cloud Platform.
• Experience leading highly complex, cross-functional technical projects with multiple stakeholders.

Responsibilities

• Design and develop machine learning, artificial intelligence, and statistical models.
• Participate in the full model development lifecycle, from framing the problem through documentation and independent model review (MRGR).
• Lead AI/ML projects and mentor and coach junior team members.
• Work with stakeholders to understand business requirements and define solution objectives.
• Identify and select appropriate methods for solving problems while staying current with AI/ML research.
• Ensure the robustness of data science solutions.
• Develop and communicate recommendations and data science solutions clearly, using data to tell a story.
• Lead and influence team efforts, frame business problems as technical problems, and help develop feasible solutions.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior