Data Scientist

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 77,600 - 176,000; Full time

Benefits offered by this job

Health, life, disability, financial, and retirement plans

Paid leave

Professional development and tuition assistance

Work-life programs

Dependent care

Job summary

Booz Allen Hamilton is seeking a Data Scientist in Washington, D.C. The role involves transforming complex data sets into actionable insights across various sectors, including national intelligence.

Key responsibilities include guiding teammates, developing algorithms, and advising clients. Candidates should have extensive experience with data science languages, strong analytical skills, and TS/SCI clearance.

Remote, hybrid, or onsite work may be required, with a salary range of $77,600 to $176,000 per year and comprehensive benefits.

Qualifications

• 4+ years of experience using data science programming languages, preferably Python or R.
• Experience creating ETL pipelines, querying APIs, and creating schemas.
• Knowledge of statistical analysis, predictive modeling, and machine learning methods.

Skills

Experience using data science programming languages such as Python or R

Creating ETL pipelines

Version control tools such as git, GitLab, GitHub, or Bitbucket

Developing scripts and programs for data formats

Statistical analysis, predictive modeling, and machine learning

Designing automated analytic software and algorithms

Generating data visualizations with Python libraries

TS/SCI clearance with a polygraph

Education

Bachelor’s degree

Tools

Python libraries (Tkinter, Streamlit)

Java programming

Job description

Position

Data Scientist

Overview

As a data scientist at Booz Allen you will turn complex data sets into actionable insights and work across private and public sectors—from fraud detection to cancer research and national intelligence—to help find answers in data. You will guide teammates, lead algorithm development, and use the right tools and frameworks to advise clients in making informed decisions.

Qualifications

• 4+ years of experience using data science programming languages such as Python or R.
• Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage.
• Experience with version control tools such as git, GitLab, GitHub, or Bitbucket.
• Experience developing scripts and programs for converting data into usable formats and supporting project teams to scale, monitor, and operate data platforms.
• Knowledge of statistical analysis, predictive modeling, and machine learning methods.
• Ability to design and develop automated analytic software, techniques, and algorithms.
• Ability to develop solutions and integrate or extend free and open‑source or COTS products.
• Ability to generate data visualizations with Python libraries such as Tkinter or Streamlit.
• TS/SCI clearance with a polygraph.
• Preferred: Bachelor’s degree and 3+ years of experience in data science, or 7+ years in lieu of a degree.

Nice to Have

• Experience with GEOINT, HUMINT, MASINT, OSINT, SIGINT data and associated tools.
• Programming with Java.
• Experience in intelligence or operations analysis in the DoD or Intelligence Community.
• Knowledge of DevOps, including CI/CD pipelines and Jenkins.
• CompTIA Security+ certification.

Compensation and Benefits

Salary range: $77,600 to $176,000 per year. Benefits include health, life, disability, financial, and retirement plans; paid leave; professional development and tuition assistance; work‑life programs; and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible for benefit programs.

Work Model

Remote, hybrid, or onsite work may be required depending on the role and client needs.

Commitment to Non‑Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.