Lead Data Scientist – ML, AI & BI for Logistics

Graham Technologies

Tampa (FL)

On-site

USD 120,000 - 170,000

Full time

3 days ago
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Benefits offered by this job

4 weeks PTO in the first year
11 paid federal holidays
Health, dental, vision, and life insu​

Job summary

Graham Technologies in Tampa, Florida, seeks a skilled Data Scientist to develop ML, predictive analytics, and AI solutions for logistics and enterprise decision-making. You will build scalable analytics, predictive models, and BI capabilities in a mission-focused environment.

The role emphasizes collaboration with senior engineers, experience with ETL, and dashboard development using Power BI, Tableau, or Qlik. A TS/SCI clearance is preferred.

Qualifications

  • Master's degree in a quantitative field or related discipline.
  • Bachelor's degree in CS, engineering, or mathematics if no master's.
  • Active TS/SCI preferred; SCI-eligibility will be considered.
  • 5+ years in data science, engineering, or related roles.
  • Experience with scripting and programming (R, Python, SQL).

Responsibilities

  • Assist with GitLab runner setup and CI/CD pipeline creation and troubleshooting.
  • Deploy applications and configure environments.
  • Support testing, validation, and documentation updates.
  • Assist in data integrations and API configuration activities.
  • Collaborate with senior engineers on Kubernetes-based deployments.

Skills

R
Python
SQL
Data visualization
CI/CD

Education

Master's degree in Data Science
Bachelor's in CS/Engineering/Math

Tools

Qlik
Tableau
Power BI
ETL tooling
Kubernetes

Job description

Graham Technologies in Tampa, Florida, seeks a skilled Data Scientist to develop ML, predictive analytics, and AI solutions for logistics and enterprise decision-making. You will build scalable analytics, predictive models, and BI capabilities in a mission-focused environment.

The role emphasizes collaboration with senior engineers, experience with ETL, and dashboard development using Power BI, Tableau, or Qlik. A TS/SCI clearance is preferred.

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