Senior Operations Research​/System Analyst; ORSA)

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success.

You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

As a Senior Operations Research/ System Analyst (ORSA) you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. You will lead teams that formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decision‑making, policy formulation, or other managerial functions.

You may collect and analyze data and develop decision support software, services, or products and may develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.

• Develop Predictive Models: Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes utilizing tools like IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis.
• Analyze Diverse Data: Manage and analyze diverse data types and structures using programming languages like Python and development environments such as PyCharm, VS Code, and Jupyter Notebooks. This involves data manipulation with Pandas, Num Py, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly.
• Deliver Data-Driven Insights: Utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. This includes applying machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.
• Collaborate on Solution Delivery: Work collaboratively to deliver data-driven solutions, ensuring effective data management and analysis to inform business decision‑making.
• Maintain Technical Expertise: Stay up-to-date with industry-leading tools and technologies, including version control systems like Git, Git Hub, and Git Lab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins.

Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs.

Bachelor's Degree

Doctorate Degree

• Data Analysis and Modeling: Experience with data preparation, analysis, and predictive modeling using tools like Pandas, Num Py, Dask, Matplotlib, Seaborn, and Plotly, with the ability to forecast trends and suggest optimizations for improved business outcomes.
• Programming
  
  Languages:
  
  Proficiency in programming languages, particularly Python, and experience with development environments like PyCharm, VS Code, and Jupyter Notebooks.
• Data Management: Experience managing and analyzing diverse data types and structures, including databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL.
• Optimization and Statistical Analysis: Experience with mathematical optimization tools like IBM CPLEX and Gurobi, and statistical analysis capabilities using SPSS, SAS, R, and Python.
• Technical Tools and Systems: Experience with version control systems like Git, Git Hub, and Git Lab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins.