Data Scientist Senior Associate

JPMorganChase • Plano, TX

1d

About The Position

As a Data Scientist Senior Associate in the Consumer Bank Sales Science team, you will be responsible for developing and scaling data-driven approaches to inform staffing decisions across the branch network. This involves connecting customer demand, branch capacity, and sales outcomes. You will work on complex analytical problems such as forecasting demand, modeling capacity, and evaluating tradeoffs to enhance customer experience and business performance. The role requires close collaboration with colleagues in branch operations, workforce management, finance, product, and analytics to translate real-world constraints into practical solutions. You will communicate insights to both technical and non-technical stakeholders and contribute to building repeatable tools and measurement frameworks. There will be opportunities for professional growth through mobility across adjacent analytics and data science problem spaces within the firm.

Requirements

• 1–3 years of experience (or strong internship/co-op experience) applying data science to business problems.
• Strong programming skills in Python and SQL; ability to write clean, testable code.
• Solid foundation in statistics and predictive modeling (regression/classification, time series basics, model evaluation).
• Experience translating ambiguous problems into analytical approaches and communicating results clearly.

Nice To Haves

• Experience with optimization (linear/integer programming, heuristics) and/or forecasting (hierarchical or time-series models).
• Familiarity with operational analytics concepts (capacity, queues, service levels, workforce planning).
• Experience with model deployment patterns (batch scoring, APIs), MLOps fundamentals, and version control (Git).
• Experience with large-scale data environments (e.g., Spark) and dashboarding/visual analytics tools.

Responsibilities

• Develop and maintain branch staffing models to optimize banker allocation, leveraging capacity modeling, demand forecasting, and constraint-based optimization techniques.
• Design and evaluate staffing strategies (coverage, schedules, skill mix) and quantify expected impact on sales performance, customer outcomes, and productivity.
• Build scenario-planning tools to support “what-if” decisions on branch footprint, traffic changes, operating hours, and banker role design.
• Establish KPI frameworks and reporting to monitor staffing interventions (e.g., conversion, appointment utilization, wait-time proxies, productivity, customer experience).
• Lead analytical assessments and experiments/pilots to measure the effectiveness of staffing changes and translate results into clear recommendations and actions.
• Partner with data and platform teams to source, curate, and document datasets; create reusable feature sets/pipelines to enable repeatable analytics and model deployment.
• Collaborate with cross-functional stakeholders (branch operations, workforce management, sales leaders, product partners) to align requirements and communicate insights to technical and non-technical

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees