Senior Data Scientist — Remote ML & Data Systems Lead

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

Job summary

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from vast datasets, including IoT and unstructured data. You’ll lead the development of ML algorithms and systems, guiding teams and collaborating with clients to drive impactful data-driven decisions.

Expect to work on production-scale pipelines, data lake environments, and streaming data, with a strong emphasis on delivering real-world solutions across sectors.

Qualifications

• Bachelor’s degree required.
• 5+ years of applied data science or ML experience.
• Proficiency with Python, NLP, and LLMs.
• Experience with data lakes and streaming data (Kafka).
• End-to-end ML workflows from prep to deployment.
• Ability to learn infrastructure and pipelines interfacing with data lakes.
• Experience with document classification, extraction, summarization, and search.
• Security clearance TS/SCI is required.

Responsibilities

• Lead and guide data science initiatives on client projects.
• Collaborate with clients to define questions and translate into data solutions.
• Develop algorithms and systems, selecting appropriate tools and frameworks.
• Mentor teammates and shape production data science workflows.
• Communicate findings and impact to clients to inform decisions.

Skills

Python

NLP

LLM implementation

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

ML workflows

Data pipelines

ML model design

Document processing

Education

Bachelor’s degree

Tools

Kafka

Databricks

Docker

Kubernetes

Spark

Hadoop

Hive

MySQL

EMR

Gurobi

Job description

Booz Allen Hamilton is seeking a Senior Data Scientist to unlock insights from vast datasets, including IoT and unstructured data. You’ll lead the development of ML algorithms and systems, guiding teams and collaborating with clients to drive impactful data-driven decisions.

Expect to work on production-scale pipelines, data lake environments, and streaming data, with a strong emphasis on delivering real-world solutions across sectors.