AI/ML Data Scientist & Team Leader (Remote)

Booz Allen Hamilton; Kingstowne (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking an AI/ML Engineer and Data Scientist to transform diverse data into actionable insights. You’ll lead development of models, work with clients, and guide teams to deliver end-to-end analytics across sectors including fraud detection, healthcare, and national security.

The role emphasizes applying NLP, ML, and data visualization, with opportunities to influence decision-making and drive real-world impact while adhering to security requirements and ethical AI

Qualifications

• 3+ years of experience with statistical and general-purpose programming languages for data analysis.
• 3+ years of experience analyzing structured and unstructured data sources.
• Experience with data exploration, data cleaning, data analysis, data visualization, data mining, and full stack analytic processes.
• Experience developing predictive data models, quantitative analyses and visualization of targeted data sources.
• Experience with natural language processing, text mining, or machine learning techniques.
• Experience with REST APIs, webhooks, and automation middleware.
• Experience integrating enterprise systems, such as Jira, Confluence, APIs, or in-house platforms.
• Ability to travel to OCONUS locations up to 20% of the time.
• TS/SCI clearance
• Bachelor’s degree

Skills

Statistical programming

General-purpose programming

Data analysis

Data exploration

Data cleaning

Data visualization

ML techniques

NLP / text mining

REST APIs / webhooks

Enterprise system integration

Education

Bachelor’s degree

Tools

Jira

Confluence

APIs

In-house platforms

Job description

Booz Allen Hamilton is seeking an AI/ML Engineer and Data Scientist to transform diverse data into actionable insights. You’ll lead development of models, work with clients, and guide teams to deliver end-to-end analytics across sectors including fraud detection, healthcare, and national security.

The role emphasizes applying NLP, ML, and data visualization, with opportunities to influence decision-making and drive real-world impact while adhering to security requirements and ethical AI