Senior Data Scientist — Geospatial ML & AI for Defense

Everwatch; Augusta (GA); On-site; USD 179,088,000 - 199,752,000; Full time

Job summary

EverWatch is seeking a Senior Data Scientist to unlock insights from large geospatial datasets and apply ML, NLP, and neural networks to defense and intelligence problems. You will lead algorithm development and work with clients to translate questions into data tasks, guiding teammates to results.

The role requires extensive experience in data science, geospatial analytics, and Agile practices, with TS/SCI clearance preferred.

Qualifications

• 10+ years of experience applying geographic and geospatial principles, tools and analyses.
• Experience applying data science and ML techniques including logistic regression, NLP, clustering, neural networks, deep learning, image recognition.
• Experience performing data analysis using SQL and scripting languages such as Python, R, or Julia.
• Experience developing data science solutions to derive insights from complex datasets.
• Knowledge of Agile software development methodologies such as Scrum, Kanban, or Lean.
• Experience with NLP, text mining, or ML techniques.
• TS/SCI clearance.
• Bachelor's Degree in STEM with 10+ years or Master's with 5+ years in STEM fields.

Responsibilities

• Lead development of algorithms and data-driven solutions.
• Collaborate with clients to translate questions into data tasks and analyses.
• Guide teammates and project stakeholders to deliver actionable insights and informed decisions.
• Apply geospatial methods to national defense datasets to solve complex challenges.

Skills

Geospatial analytics

Machine learning

Neural networks

Natural language processing

Data analysis

Python

SQL

R

Julia

Algorithm development

Clustering

Education

Bachelor's Degree in STEM

Master's Degree in STEM

Tools

Splunk

Elastic

Confluence

Job description

EverWatch is seeking a Senior Data Scientist to unlock insights from large geospatial datasets and apply ML, NLP, and neural networks to defense and intelligence problems. You will lead algorithm development and work with clients to translate questions into data tasks, guiding teammates to results.

The role requires extensive experience in data science, geospatial analytics, and Agile practices, with TS/SCI clearance preferred.