AI-Driven Data Solutions Architect

Booz Allen Hamilton; San Antonio (TX); On-site; USD 99,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Life insurance

Disability benefits

Retirement benefits

Paid leave

Tuition assistance

Professional development

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton in the United States seeks a data scientist to lead analytics across private and public sectors—healthcare to national security. You’ll mentor teammates, develop algorithms, write scripts, and build predictive analytics from diverse data sources to support senior leadership decisions.

Responsibilities include applying ML/NLP, using open source stacks (Python, R, TensorFlow, Elasticsearch), and scaling data products across distributed systems.

Qualifications

• 10+ years of software engineering experience.
• Experience with NLP and ML techniques.
• Experience building data products using Python, R, TensorFlow, and Elasticsearch.
• Experience scaling data products with Hadoop, MapReduce or MongoDB.
• Experience with visualization tools such as Cloudera, Tableau, and Gephi.
• Experience with web UI using HTML5, JavaScript and NodeJS.
• Must have TS/SCI clearance.
• Bachelor's degree; Master's degree preferred.

Responsibilities

• Lead and mentor team on data science projects.
• Develop algorithms and predictive analytics.
• Write scripts and automate data workflows.
• Apply ML and NLP to solve client challenges.
• Collaborate with stakeholders to define questions and needs.

Skills

NLP

Machine Learning

Python

R

TensorFlow

Elasticsearch

Distributed computing

Data visualization

Web UI

TS/SCI clearance

Education

Bachelor's degree

Master's degree preferred

Tools

TensorFlow

Elasticsearch

Hadoop

MapReduce

MongoDB

Cloudera

Tableau

Gephi

HTML5

JavaScript

Node.js

Job description

Booz Allen Hamilton in the United States seeks a data scientist to lead analytics across private and public sectors—healthcare to national security. You’ll mentor teammates, develop algorithms, write scripts, and build predictive analytics from diverse data sources to support senior leadership decisions.

Responsibilities include applying ML/NLP, using open source stacks (Python, R, TensorFlow, Elasticsearch), and scaling data products across distributed systems.