WFP Lead Data Scientist - Vice President

JPMorganChase • Wilmington, NC

1d • Onsite

About The Position

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

The WFP Lead Data Scientist works within the AI/ML team to build next-generation data science solutions that advance real-time inference and decision-making. The role involves complex, data-intensive projects with significant business impact, often involving unstructured problems that require quickly assessing the situation and developing a practical solution strategy. The successful candidate analyzes problems, develops solution proposals, reviews results and next steps with management, and supports decisions about prioritization, timing, and delivery.

Requirements

• Master’s degree with at least 5 years of experience, or a doctorate (PhD) with at least 3 years of experience, as a data science professional or in a related quantitative profession.
• A degree or background in a quantitative field such as Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, or Artificial Intelligence.
• 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 basic data table operations such as SQL or Hive.
• Demonstrated relationship-building skills and a strong ability to make things happen through positive influence.

Nice To Haves

• Advanced expertise with time series and operations research techniques.
• Natural Language Processing (NLP), Natural Language Generation (NLG), neural networks, or other ML/AI skills.
• Prior experience with public cloud technologies such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP).
• Previous 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 preparing documentation and passing independent model review (MRGR).
• Lead AI/ML projects and mentor and coach junior team members.
• Collaborate with stakeholders to understand business requirements and clearly define solution objectives.
• Identify and select appropriate methods to solve problems while staying current with AI/ML research.
• Ensure the robustness of data science solutions.
• Develop and communicate recommendations and data science solutions in an easy-to-understand way, using data to tell a story.
• Lead and persuade others, positively influence team outcomes, and translate business problems into technical problems with feasible solutions.
• Review solution results and next steps with management for prioritization, timing, and delivery.

What This Job Offers

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