Senior Mission Data Scientist: AI/ML for Federal Impact

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

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Retirement benefits

Tuition assistance

Job summary

Booz Allen Hamilton is seeking a Mission Data Scientist, Senior to apply advanced analytics to large-scale data sets for federal health and intelligence challenges. The role involves mentoring teammates, developing algorithms, and turning data into actionable insights using ML and predictive analytics.

You will collaborate with customers to understand questions, craft data-driven solutions, and communicate complex results to stakeholders while complying with security requirements.

Qualifications

• 5+ years of experience across data analytics, software/data science roles.
• Experience with Python development.
• Experience briefing military leaders and officers.
• Experience automating analytic workflows and ML algorithms.
• Ability to communicate technical requirements to non-technical client SMEs.
• Willingness to travel CONUS up to 25%.
• Willingness to deploy internationally for up to 90 days.
• TS/SCI clearance.
• HS diploma or GED.
• Bachelor's degree preferred.

Responsibilities

• Mentor teammates and develop algorithms for data analysis.
• Write scripts and build predictive analytics.
• Apply machine learning and ML frameworks to turn data into actionable insight.
• Explain data insights to federal health organizations and stakeholders.

Skills

Data analytics

Python

Briefing leaders

ML workflows

Technical communication

Travel CONUS

International deployment

TS/SCI clearance

HS diploma/GED

Education

Bachelor's degree

HS diploma or GED

Tools

Palantir Foundry

API development

Databases

Docker/Kubernetes

Deployment

ETL tools

Data warehousing

Data pipelines

Job description

Booz Allen Hamilton is seeking a Mission Data Scientist, Senior to apply advanced analytics to large-scale data sets for federal health and intelligence challenges. The role involves mentoring teammates, developing algorithms, and turning data into actionable insights using ML and predictive analytics.

You will collaborate with customers to understand questions, craft data-driven solutions, and communicate complex results to stakeholders while complying with security requirements.