Mid Data Scientist - AI, AWS & MLOps (Remote)

Booz Allen Hamilton; Reston, Northern (VA, KY); Hybrid; USD 78,000 - 176,000; Full time

Job summary

Booz Allen Hamilton in Reston, VA seeks a mid-level Data Scientist to turn large, complex datasets into actionable insights. You will guide teams, develop predictive models, and apply ML/AI techniques across structured and unstructured data to solve mission-critical problems.

You should have 3+ years of data analytics experience, strong AWS skills (S3/EC2/Lambda/SageMaker), and TS/SCI clearance. The job spans private/public sectors, with opportunities for growth and impact.

Qualifications

• 3+ years of experience with data exploration, data cleaning, data visualization, or data mining.
• 3+ years of experience with statistical and general-purpose programming languages for data analysis.
• Experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
• Experience working with AWS cloud services such as S3, EC2, Lambda, or SageMaker.
• Experience with GenAI tech and MLOps.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor's degree and 3+ years of experience with data analytics, or 7+ years of experience with data analytics in lieu of degree.

Responsibilities

• Lead the development of algorithms and systems with a data-science team.
• Dig into client data to understand questions and needs.
• Turn disparate data points into objective answers to advise clients.
• Provide deep understanding of the data and its implications for decisions.

Skills

Data exploration

Data cleaning

Data visualization

Data mining

Statistical analysis

Programming languages

AWS

GenAI

MLOps

TS/SCI clearance

Education

Bachelor's degree

Tools

S3

EC2

Lambda

SageMaker

Job description

Booz Allen Hamilton in Reston, VA seeks a mid-level Data Scientist to turn large, complex datasets into actionable insights. You will guide teams, develop predictive models, and apply ML/AI techniques across structured and unstructured data to solve mission-critical problems.

You should have 3+ years of data analytics experience, strong AWS skills (S3/EC2/Lambda/SageMaker), and TS/SCI clearance. The job spans private/public sectors, with opportunities for growth and impact.