5 Management Science Jobs

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R).

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. Your responsibilities will include designing and developing optimization models and simulation models, supporting OR projects either individually or as part of a team, and collaborating with stakeholders to understand business requirements and define solution objectives clearly. It is crucial to identify and select the correct method to solve problems while staying up to date on the latest OR methodologies and ensuring the robustness of any mathematical solution. Additionally, you will be expected to develop and communicate recommendations and OR solutions in an easy-to-understand manner, leveraging data to tell a story. Your role will involve leading and persuading others positively to influence team efforts and help frame business problems into technical problems with feasible solutions. The ideal candidate 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 developing simulation models, optimization models, and/or heuristics, a deep understanding of the mathematics and theory behind Operations Research techniques, and proficiency in Open Source Software (OSS) programming languages like Python, R, or Scala. Experience with commercial solvers like GUROBI, CPLEX, XPRESS, or MOSEK, as well as familiarity with basic data table operations (SQL, Hive, etc.), is required. Demonstrated relationship-building skills and the ability to make things happen through positive influence are essential. Preferred qualifications include advanced expertise with Operations Research techniques, prior experience building Reinforcement Learning Models, extensive knowledge of Stochastic Modelling, and previous experience leading highly complex cross-functional technical projects with multiple stakeholders.,

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.,

ZS is a dynamic workplace where your passion can make a real difference in people's lives. As a leading management consulting and technology firm dedicated to enhancing life quality, our greatest asset is our talented team. At ZS, you will collaborate with a diverse group of innovative thinkers and experts, shaping transformative solutions for patients, caregivers, and consumers globally. Our approach prioritizes client needs, fostering impactful engagements that drive positive outcomes. We work closely with clients to design tailored solutions and technology products, generating value and driving business success across key areas. Our commitment to diversity and inclusion is at the core of our values at ZS. We recognize and celebrate the unique identities, experiences, and beliefs that define us as individuals. Your personal interests, identities, and thirst for knowledge are integral to your success here. Discover more about our initiatives for diversity, equity, and inclusion, and the supportive networks available at ZS to help our team members create inclusive spaces, access necessary resources, and amplify their voices. Insights & Analytics: ZS's Insights & Analytics team collaborates with clients to develop and implement solutions that address various business challenges. Our dedicated teams manage multiple projects concurrently, leveraging advanced data analytics and problem-solving techniques. Our recommendations are rooted in thorough research and analysis, supported by deep expertise and innovative thinking. Role Responsibilities: - Utilize quantitative skills to address clients" ongoing business analytics and reporting inquiries effectively. - Collaborate with clients to identify their specific business information requirements. - Develop and execute a tailored plan for analyzing data to address clients" unique business needs. - Identify and recommend the most suitable data for analysis in consultation with clients. - Evaluate and analyze data meticulously to provide solutions aligned with clients" business information needs. - Present data findings to clients, focusing on addressing business questions rather than technical processes. - Familiarize yourself with clients" internal processes promptly. - Build expertise in a specific client analytics area. - Provide client support during regular business hours. Candidate Requirements: - MBA with a bachelor's degree in a quantitative or analytical discipline, or a related field. Alternatively, candidates may have a PhD in a relevant area with business applications. Substantial work experience (5-8 years) may be considered in place of an MBA or PhD. - 3 years of post-MBA relevant work experience and 3-5 years of pre-MBA relevant work experience, showcasing strong analytical skills. - Proficiency in advanced modeling techniques and tools such as R, SAS, Tableau, or VBA. - Strong motivation, work ethic, maturity, and initiative. - Ability to lead and manage teams effectively. - Excellent oral and written communication skills to engage with senior decision-makers. - Detail-oriented with a focus on quality. - Analytical problem-solving abilities with a creative and innovative mindset. - Client-centric approach to service delivery. Perks & Benefits: ZS provides a comprehensive total rewards package encompassing health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, diverse career progression options, internal mobility paths, and collaborative culture empower you to excel as an individual and a global team member. We promote a flexible and connected work environment at ZS, allowing a balance between work-from-home and on-site presence at clients/ZS offices. This blend enables us to leverage the best of both worlds for enhanced collaboration and innovation. Travel Requirements: Travel is a fundamental aspect of client-facing roles at ZS, with project and client needs taking precedence. While some projects may be local, all client-facing team members should be prepared for travel as necessary. Travel opportunities facilitate stronger client relationships, diverse experiences, and professional growth in varied environments and cultures. Application Process: ZS is committed to fostering a diverse and inclusive workplace where individual passions drive impactful change and better outcomes for all. We value candidates from all backgrounds and encourage applicants to apply even if they do not meet 100% of the listed requirements. ZS is an equal opportunity employer, dedicated to providing fair employment opportunities without discrimination based on any protected class. To Apply: Candidates must have or be eligible to obtain work authorization for their intended country of employment. An online application, along with a complete set of transcripts (official or unofficial), is necessary for consideration. We kindly request no agency calls during the application process. Learn More About Us: Visit www.zs.com for more information about ZS and our commitment to driving positive change through innovative solutions and inclusive practices.,

What Youll Do Develop and apply advanced statistical models that help clients understand dynamic business issues. Leverage analytic techniques to use data to guide client and ZS team decision-making. Design custom analyses in R, Tableau, SAS, Visual Basic and Excel to investigate and inform client needs. Synthesize and communicate results to clients and ZS teams through oral and written presentations. Develop client relationships and serve as key point of contact on aspects of projects. Provide client and ZS teams project status updates. Create project deliverables and implement solutions. Advance problem-solving skills and improve ZSs capabilities. Guide and mentor Associates on teams. What Youll Bring Bachelor's or master's degree required in any discipline with strong record of academic success in quantitative and analytic coursework such as operations research, applied mathematics, management science, data science, statistics, econometrics or engineering. Up to 3 years of relevant post-collegiate job experience. Fluency in English. Knowledge of programming (e.g., Java/Python/R).