Remote Data Scientist: AI/ML for Global Impact

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

Job summary

Booz Allen Hamilton seeks a Data Scientist to unlock insights from large data sets across IoT, ML, and AI initiatives. You will work with clients to translate questions into data-driven solutions, build end-to-end ML pipelines, and implement models in production to inform strategic decisions.

The role emphasizes collaboration with data scientists, ML engineers, analysts, and platform engineers, plus security clearances and a strong foundation in data processing and modeling.

Qualifications

• 3+ years building and maintaining ML or data-centric applications.
• 3+ years designing and operationalizing data and ML pipelines in production.
• 3+ years processing structured and unstructured data for analytics and modeling.
• 3+ years integrating LLMs into analytics workflows and prompts.
• Experience collaborating with cross-functional teams to deliver DS/ML solutions.
• Secret clearance required.
• Bachelor's degree required.

Responsibilities

• Collaborate with clients to understand questions and analytics needs.
• Develop algorithms and systems to turn data into actionable insights.
• Turn disparate data points into objective answers for decision makers.
• Create end-to-end DS/ML solutions across platforms and teams.

Skills

Machine learning

Data science

Pipeline design

Python

SQL

LLMs integration

Cross-functional teamwork

Security clearance

Education

Bachelor's degree

Tools

Palantir Foundry

Spark

Databricks

Hadoop

Hive

AWS EMR

Kafka

Job description

Booz Allen Hamilton seeks a Data Scientist to unlock insights from large data sets across IoT, ML, and AI initiatives. You will work with clients to translate questions into data-driven solutions, build end-to-end ML pipelines, and implement models in production to inform strategic decisions.

The role emphasizes collaboration with data scientists, ML engineers, analysts, and platform engineers, plus security clearances and a strong foundation in data processing and modeling.