Senior Analytics & Optimization Architect

IBM; Maryland; On-site; USD 135,000 - 165,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan

Paid time off

Parental leave

Training resources

Job summary

IBM Consulting in the United States is seeking a Senior Operations Research/ System Analyst (ORSA) to apply data science, optimization, and predictive modeling to client challenges. You will lead teams, develop decision-support solutions, and drive business impact through analytics and AI-enabled insights.

You will work with tools like IBM CPLEX, Gurobi, Python ecosystems, and modern development environments to deliver data-driven results for complex logistics, pricing, and risk scenarios.

Qualifications

• Experience with data preparation, analysis, and predictive modeling.
• Ability to forecast trends and optimize business outcomes.
• Experience with mathematical optimization tools.
• Proficiency in Python and data science libraries.
• Experience with SQL and NoSQL databases.

Responsibilities

• Develop predictive models and optimization.
• Analyze diverse data types and structures.
• Deliver data-driven insights for decision making.
• Collaborate on solution delivery with teams.
• Maintain technical excellence with modern tooling and CI/CD.

Skills

Data analysis

Python

SQL

Machine learning

Optimization

Data visualization

Pandas

NumPy

Version control

Education

Bachelor's Degree

Doctorate Degree

Tools

IBM CPLEX

Gurobi

SPSS

SAS

R

Plotly

Jupyter

PyCharm

VS Code

Docker

Podman

Jenkins

GitHub

GitLab

Job description

IBM Consulting in the United States is seeking a Senior Operations Research/ System Analyst (ORSA) to apply data science, optimization, and predictive modeling to client challenges. You will lead teams, develop decision-support solutions, and drive business impact through analytics and AI-enabled insights.

You will work with tools like IBM CPLEX, Gurobi, Python ecosystems, and modern development environments to deliver data-driven results for complex logistics, pricing, and risk scenarios.