Operations Research Scientist Associate - Workforce Planning

Join our dynamic Workforce Planning (WFP) team within Consumer and Community (CCB) Operations division and be part of a forward-thinking organization that leverages data science to optimize workforce efficiency. Contribute to innovative projects that drive impactful solutions for Chase's operations. As an Operations Research Analyst within the WFP Data Science team, you will tackle complex and high-impact projects. You will assess unstructured problems, develop practical strategies, and propose solutions to enhance decision-making processes. Collaborate with management to prioritize, time, and deliver next-gen operations research solutions. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a project team, collaborating with stakeholders to understand business requirements and define solution objectives clearly, selecting appropriate methods to solve problems while staying updated on the latest OR methodologies, ensuring the robustness of mathematical solutions, developing and communicating recommendations and OR solutions in an easy-to-understand manner using data to tell a story, leading and persuading others to positively influence team efforts, and helping frame a business problem into a technical problem to achieve feasible solutions. To be considered for this role, you should possess a Master's Degree with 4+ years or a Doctorate (PhD) with 2+ years of experience in Operations Research, Industrial Engineering, Systems Engineering, Financial Engineering, Management Science, or related disciplines. You should have experience supporting OR projects with multiple team members, hands-on experience in developing simulation models, optimization models, and/or heuristics, a deep understanding of the math and theory behind Operations Research techniques, proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala, experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, and familiarity with basic data table operations (SQL, Hive, etc.). Additionally, you should have demonstrated relationship building skills and a superior ability to make things happen through positive influence. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience in building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience in leading highly complex cross-functional technical projects with multiple stakeholders.,