Workforce Planning - Data Scientist - Senior Associate

JPMorgan Chase & Co. • Wilmington, DE

9h • Onsite

About The Position

As a Data Scientist Associate Senior in Consumer and Community Banking’s Workforce Planning (WFP) organization, you will solve complex, data-intensive, and often unstructured business problems that materially affect operations. You will independently frame ambiguous questions, translate them into mathematical formulations, and choose modeling approaches based on strong theoretical fit rather than relying only on off-the-shelf algorithms. You will design, develop, and productionize rigorous AI/ML solutions that advance Workforce Planning capabilities, including progress toward real-time inference and decision-making.

The WFP Data Science team builds AI/ML solutions to forecast demand, optimize capacity, and improve scheduling across Chase call centers, back-office operations, and approximately 5,200 branches. The work involves framing problems, selecting appropriate mathematical approaches, and delivering actionable solutions. The position is five days a week in the office and is not eligible for visa sponsorship.

Requirements

• A master’s degree and at least 3 years of experience, or a doctorate (PhD) and at least 1 year of experience, working as a data science professional (such as a data scientist or statistician) in a quantitative field. Listed fields include Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, and Artificial Intelligence.
• Experience supporting AI/ML projects with multiple team members.
• Hands-on experience developing statistical, machine learning, and/or artificial intelligence models.
• Foundational understanding of the mathematics and theory behind AI/ML algorithms, including the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
• 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 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 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.
• Support AI/ML projects independently or as part of a project team.
• Collaborate with stakeholders to understand business requirements and clearly define solution objectives.
• Select and apply modeling approaches based on a principled understanding of problem structure and underlying assumptions, while keeping up 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.
• Work effectively and build credibility and respect with peers, clients, and other stakeholders.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• 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