Senior Data Scientist, TS/SCI — Onsite DC

IBM Computing; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Job summary

IBM Data Science team in Washington, DC area is seeking a Data Scientist with Advanced Analytics to develop predictive models, analyze diverse datasets, and deliver data-driven insights for business optimization. You will work with Python, SQL-based tools, and visualization libraries, applying machine learning and optimization techniques in a security-cleared environment.

The role emphasizes collaboration with stakeholders and engineers, maintaining modern data pipelines and CI/CD practices

Qualifications

• US Citizen with TS/SCI clearance or eligible per DISS database.
• Bachelor’s degree in STEM fields.
• 4+ years of Python or Java programming experience.
• 4+ years of experience in hybrid cloud or on-prem environments.
• Experience with database tech, data validation, and ETL development.

Responsibilities

• Develop Predictive Models using optimization, simulation, and rules programming with tools like IBM CPLEX and Gurobi.
• Analyze diverse data using Python, Pandas, NumPy, and visualization with Matplotlib/Seaborn/Plotly.
• Deliver data-driven insights for business optimization in areas like supply chain, pricing, risk, and fraud detection.
• Collaborate to deliver data-driven solutions and maintain effective data management.
• Stay current with tools like Git, Docker, and CI/CD (Jenkins) to support deployment.

Skills

Python

Java

Predictive Modeling

Data Analysis

Python Libraries

Education

Bachelor's Degree in STEM

Tools

IBM CPLEX

Gurobi

Pandas

NumPy

Dask

Matplotlib

Seaborn

Plotly

PyCharm

VS Code

Jupyter Notebooks

Git

GitHub

GitLab

Docker

Podman

Jenkins

MongoDB

Job description

IBM Data Science team in Washington, DC area is seeking a Data Scientist with Advanced Analytics to develop predictive models, analyze diverse datasets, and deliver data-driven insights for business optimization. You will work with Python, SQL-based tools, and visualization libraries, applying machine learning and optimization techniques in a security-cleared environment.

The role emphasizes collaboration with stakeholders and engineers, maintaining modern data pipelines and CI/CD practices