Data Scientist

Booz Allen Hamilton • Washington, DC

7d • $77,600 - $176,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help solve challenges across public and private sectors. You will collaborate with clients to understand their questions and needs, explore data-rich environments, and develop algorithms and systems that transform disparate data into objective answers. You will select appropriate tools and frameworks to help clients make informed decisions and provide insight into what the data means and how it can be used. The role involves testing and evaluating AI and machine-learning models and collaborating as part of a team.

Requirements

• Experience collaborating in teams.
• Ability to perform testing and evaluation of AI and ML models.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Bachelor's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science and 3+ years of experience in a data science, engineering, analytics, statistics, or computer science field; alternatively, 7+ years of experience in one of those fields in lieu of a degree.
• Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Nice To Haves

• Experience authoring DoD product lines and utilizing ICD 203 tradecraft standards.
• Experience supporting DoW or IC clients.
• Experience with data analytics, analysis, and visualization.
• Knowledge of the intelligence cycle.
• Ability to support AI governance work.
• Excellent verbal and written communication skills.
• Excellent interpersonal skills.
• TS/SCI clearance with a polygraph.

Responsibilities

• Collaborate with clients to understand their questions and needs.
• Analyze complex, data-rich environments and find useful information in disparate data.
• Develop algorithms and systems using appropriate tools and frameworks to support client decision-making.
• Perform testing and evaluation of AI and machine-learning models.

Benefits

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

What This Job Offers

• Job Type: Full-time