Senior Data Scientist - Maritime Analytics & Navy Programs

ADP, Inc.; Arlington (VA); On-site; USD 82,000 - 105,000; Full time

Benefits offered by this job

Medical plans

401(k)

Professional development stipend

Paid time off

Holidays

Job summary

MBC in Arlington, VA is seeking a Senior Data Scientist to support the U.S. Navy's Maritime M&S program. The role involves building analytics solutions, data mining, NLP, and ML to derive insights from large structured and unstructured datasets, and delivering dynamic data reports.

Travel may be required; you will collaborate with government clients, prepare briefing materials, and help coordinate data calls while advancing data-driven outcomes.

Qualifications

• Bachelor's degree in math, science, engineering, or related field from a US-accredited institution.
• 10+ years of data analytics support experience for Navy program offices or similar defense programs.
• Proficiency with MS Office suite and data visualization tools.
• Experience applying data mining, ML, NLP, and data modeling to large datasets.

Responsibilities

• Develop and implement analytics applications to transform raw data into meaningful information.
• Apply data mining, ML, NLP, and data modeling to extract insights from large datasets.
• Create dynamic data reports to visualize findings for leadership.
• Coordinate data calls with internal and external stakeholders and summarize outcomes.

Skills

Data analytics

Navy program offices

ML/NLP

Visualization/reporting

Education

Bachelor’s degree in math/science/engineering

Tools

MS Word

Excel

PowerPoint

SharePoint

Job description

MBC in Arlington, VA is seeking a Senior Data Scientist to support the U.S. Navy's Maritime M&S program. The role involves building analytics solutions, data mining, NLP, and ML to derive insights from large structured and unstructured datasets, and delivering dynamic data reports.

Travel may be required; you will collaborate with government clients, prepare briefing materials, and help coordinate data calls while advancing data-driven outcomes.