Data Scientist at Booz Allen in McLean, VA | Apply Now!

Full Time Remote / Hybrid
  • Full Time
  • Remote / Hybrid
  • McLean, VA 22102
  • $75,600.00 - $172,000.00 USD / Year
  • Salary: $75,600.00 - $172,000.00

Booz Allen

Data Scientist

Company: Booz Allen
📍 Location: McLean, Virginia (Zip Code: 22102)
💼 Position Type: Full-Time, Hybrid
💰 Salary: $75,600.00 – $172,000.00 annually


Job Overview

Booz Allen is seeking a talented Data Scientist to join our team in McLean, VA. As a Data Scientist, you will work at the intersection of data exploration, machine learning, and artificial intelligence, unlocking valuable insights from vast datasets. Your contributions will help solve complex problems across various sectors, including fraud detection, cancer research, and national intelligence.

At Booz Allen, you will use your skills in data analysis, statistical programming, and predictive modeling to turn structured and unstructured data into actionable insights. You’ll collaborate with clients to understand their unique challenges and develop algorithms and solutions to address them.

Join us in using data science to make a real-world impact.


Key Responsibilities

🔍 Data Exploration & Analysis

  • Explore, clean, and analyze large datasets to uncover valuable insights.
  • Develop predictive models, perform data mining, and identify trends in both structured and unstructured data sources.

💡 Machine Learning & AI

  • Apply Machine Learning (ML), Artificial Intelligence (AI), and Natural Language Processing (NLP) techniques to build robust models.
  • Leverage advanced algorithms to analyze data, predict outcomes, and drive key decision-making.

📊 Data Visualization & Reporting

  • Use visualization tools (e.g., Plotly, Seaborn, ggplot2) to present findings in an accessible and informative manner.
  • Create reports and dashboards to convey actionable insights to stakeholders.

🖥️ Developing Algorithms

  • Develop sophisticated algorithms using programming languages such as R, Python, SQL, or NoSQL to analyze complex data.
  • Implement and optimize algorithms for predictive analytics and data processing.

🤝 Collaboration

  • Work closely with cross-functional teams to understand data needs and deliver impactful solutions.
  • Collaborate with clients to refine data models and achieve strategic objectives.

Required Qualifications

🎓 Education & Experience:

  • 2+ years of experience in data analysis, data exploration, data cleaning, or data visualization.
  • Proficiency with statistical programming languages like R, Python, or SQL.
  • Hands-on experience in developing predictive models and quantitative analyses.
  • Experience with Machine Learning, AI, or NLP techniques.
  • Proven ability to analyze and interpret both structured and unstructured data.
  • Secret clearance and a High School Diploma or GED.

Preferred Qualifications

🛠️ Technical Expertise:

  • 2+ years of experience with distributed computing tools such as MapReduce, Hadoop, Spark, EMR, and Kafka.
  • Experience with data visualization packages like Plotly, ggplot2, or Seaborn.
  • Familiarity with NoSQL databases and distributed systems.

Security Clearance Requirements

Applicants selected for this role will undergo a security investigation and may need to meet eligibility requirements for access to classified information. Secret clearance is required.


Compensation and Benefits

💼 Compensation:

  • Salary Range: $75,600 to $172,000 annually (based on experience, education, and skillset).
  • Total Compensation Package: Includes health benefits, retirement, life, disability insurance, paid leave, professional development, and more.

Work Model

Our flexible work culture at Booz Allen allows for a hybrid work model where you’ll work both remotely and occasionally on-site at Booz Allen or client facilities.


Why Booz Allen?

At Booz Allen, we celebrate your contributions and support your total well-being through an array of benefits. From health and life insurance to tuition assistance and work-life balance programs, we are committed to empowering our employees.

We believe in data science for good. Join us to use your skills to address global challenges and make a lasting impact.

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To apply for this job please visit careers.boozallen.com.