Data Scientist

Graham Technologies is seeking a Data Scientist to help deliver machine learning, predictive analytics, and artificial intelligence capabilities that support logistics planning, sustainment operations, and enterprise decision-making. This onsite role in Tampa, FL focuses on building scalable analytics and predictive models while partnering with engineering teams on deployment and operationalization.

What you’ll do

• Assist with GitLab runner setup and the creation, execution, and troubleshooting of CI/CD pipelines
• Execute application deployments and handle environment configuration tasks
• Support testing, validation, and updates to documentation
• Assist with data integrations and API configuration activities
• Collaborate with senior engineers on Kubernetes-based deployments

Qualifications

• 5+ years of experience in engineering, science, or data science
• 5+ years of experience with scripting and programming, including R, Python, and SQL
• Experience with data visualization tools and dashboard development, such as Qlik or Tableau
• Experience with Extract, Transform, Load (ETL)
• Ability to develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar platforms
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline, or a Bachelor’s degree in a related technical field in lieu of a Master’s degree
• Active TS/SCI preferred; candidates with an active Top Secret (TS) clearance who are SCI-eligible will also be considered

Technologies

• GitLab, CI/CD, Kubernetes
• R, Python, SQL
• Qlik, Tableau, Power BI
• ETL

Benefits

• Four Weeks of accrued PTO in the first year
• Eleven paid federal holidays
• Comprehensive Health, Dental, Vision, and Life Insurance
• 401(k) plan with annual employer contributions
• Flexible schedules
• Reimbursements for continued education and training

Location: Tampa, Florida (onsite)