Data Analyst - DoD Data Science & ML Leader

EmergencyMD; Bellevue Second IV Precinct (NE); On-site; USD 95,000 - 150,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K

Life Insurance

PTO

Tuition Reimbursement

Job summary

The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives within a dynamic Department of Defense environment. The selected candidate will design and implement enterprise-level data collection strategies and deliver actionable insights to support decision-making.

The ideal candidate has strong expertise in Python, R, SQL, BI tools, and ML model development, with the ability to lead analytical projects and communicate

Qualifications

• Bachelor's degree or higher in a technical discipline related to data science or engineering.
• Minimum of 7 years designing and implementing data collection strategies and processing large datasets.
• Experience leading analytical or technical projects and coordinating cross-functional teams.
• Experience developing, testing, and deploying Machine Learning models.
• Proficiency with Python, R, SQL, and BI tools.

Responsibilities

• Design and manage data collection processes for enterprise datasets.
• Analyze large, complex datasets to deliver actionable insights.
• Develop machine learning models and analytical products.
• Create dashboards and visualizations to support senior leadership.
• Lead projects and collaborate across multidisciplinary teams.

Skills

Python

R

SQL

Business Intelligence tools

Data cleaning and data wrangling

Education

Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical discipline

Tools

SQL

Business Intelligence tools

Job description

The GARRETT GROUP is seeking an experienced Data Analyst to support advanced analytical, data management, and machine learning initiatives within a dynamic Department of Defense environment. The selected candidate will design and implement enterprise-level data collection strategies and deliver actionable insights to support decision-making.

The ideal candidate has strong expertise in Python, R, SQL, BI tools, and ML model development, with the ability to lead analytical projects and communicate