Data Scientist, Mid

Booz Allen Hamilton12 months ago
Baltimore, Maryland, United States
Hybrid
Full-time
Junior Level (1-3 years)

Job Description

Position Overview

Join Booz Allen Hamilton as a Data Scientist, Mid, where you’ll transform vast amounts of structured and unstructured data into actionable insights. Working across private and public sectors, you'll use advanced techniques—including IoT, machine learning, and artificial intelligence—to help solve global challenges by providing clients with data-driven recommendations.

Key Responsibilities

  • Collaborate with clients to understand their data challenges and requirements.
  • Analyze complex data sets to extract meaningful insights.
  • Develop algorithms and systems that convert disparate data points into objective answers.
  • Utilize statistical and machine learning techniques to enhance decision-making processes.
  • Communicate findings effectively to both technical and non-technical audiences.

Required Qualifications

  • 1+ year of experience in statistics, operations research, or advanced mathematics
  • Proficiency with R or Python
  • Experience using scientific methods for qualitative and quantitative analyses
  • Ability to work effectively in a collaborative, fast-paced environment
  • TS/SCI clearance with a polygraph
  • Minimum of a high school diploma or GED

Preferred Qualifications

  • Experience with optimization, modeling and simulation, prediction, estimation, decision analysis, or engineering management
  • Experience analyzing large-scale datasets
  • Experience in data gathering, cleansing, and parsing
  • Familiarity with developing and applying optimization and simulation models
  • Ability to work in both Windows and Linux environments
  • Bachelor’s degree in Operations Research, Applied Mathematics, or Data Science

Benefits & Perks

  • Compensation: Projected range of $77,600.00 to $176,000.00 (annualized USD)
  • Benefits: Health, life, disability, financial, and retirement benefits
  • Paid leave, work-life programs, and professional development opportunities
  • Tuition assistance, dependent care support, and recognition awards

Required Skills

Simulation
Python
Data Cleansing
Data Analysis
Optimization
R
Machine Learning
Statistics