Data Scientist

Booz Allen Hamilton • Arlington, VA

6d • $77,600 - $176,000 • Hybrid

About The Position

Booz Allen is seeking a Data Scientist to help improve aerospace mission solutions by turning complex, structured and unstructured data into useful information. The role is part of a cross-functional team of data scientists, data engineers, modelers, and web developers working on complex data problems. The Data Scientist will work closely with customers to understand their problems and constraints, analyze data-rich environments, and develop objective answers that help military leadership make informed decisions. The work includes analyzing optimization algorithms, writing scripts, building predictive analytics, automating processes, applying machine learning techniques, and selecting appropriate tools and frameworks.

Requirements

• 2+ years of experience in engineering, science, or data science.
• Experience with scripting and programming, including R, Python, SQL, JavaScript, Matlab, or Ruby.
• Knowledge of probability, statistics, and machine learning.
• Secret clearance.
• Bachelor's degree.

Nice To Haves

• Experience with data visualization tools and dashboard development such as Qlik or Tableau.
• Experience with Extract, Transform, and Load.
• Experience with DevOps tools, including GitHub, JIRA, or Jenkins.
• Experience with Agile fundamentals.
• Experience leading technical teams in a supervisor role.
• Experience architecting AI and ML platforms and large-scale data infrastructure.
• Experience with data governance principles, including data quality management, metadata management, and data lineage.
• Experience with back-end frameworks, including Flask, Django, or FastAPI.
• Experience with Amazon Web Services.
• Master’s degree in Engineering, CS, or Mathematics.

Responsibilities

• Work closely with customers to understand their problems and constraints.
• Analyze data-rich environments to identify useful information and solutions.
• Analyze optimization algorithms.
• Write scripts and build predictive analytics.
• Automate processes.
• Apply machine learning techniques and use appropriate tools and frameworks.
• Explain data and its implications to customers to help them address challenges and make informed decisions.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program for exceptional performance and demonstration of company values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level