IBM · 17 hours ago
SR Systems Engineer TS/SCI W/FSP
Chantilly, VA
Full-time
Onsite
Senior LevelIBM is a leading company in consulting, helping clients shape their hybrid cloud and AI journeys. The role involves leveraging deep data and analytics expertise to address business challenges, including developing predictive models and delivering data-driven insights.
Business DevelopmentBusiness Information SystemsCRMData ManagementFoundational AISoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Develop Predictive Models: Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business optimization. This includes using tools such as 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, NumPy, 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, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins
Qualification
Required
Experience with data preparation, analysis, and predictive modeling using tools like Pandas, NumPy, Dask, Matplotlib, Seaborn, and Plotly, with the ability to forecast trends and suggest optimizations for improved business outcomes
Proficiency in programming languages, particularly Python, and experience with development environments like PyCharm, VS Code, and Jupyter Notebooks
Experience managing and analyzing diverse data types and structures, including databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL
Experience with mathematical optimization tools like IBM CPLEX and Gurobi, and statistical analysis capabilities using SPSS, SAS, R, and Python
Experience with version control systems like Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins
Must have TS/SCI with Full Scope Poly
Preferred
Experience with machine learning, statistical modeling, and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection
Shell scripting abilities, along with experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL
Experience with tools like IBM CPLEX and Gurobi for optimization
Company
IBM
IBM is an IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.
Founded in 1911
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown1973-07-19IPO
Leadership Team
Alain Bénichou
Chief Executive Officer, IBM Greater China Group
Alex Yang
CTO and Chief Architect
Recent News
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