Data Scientist

Booz Allen Hamilton • McLean, VA

1d

About The Position

As a Data Scientist at Booz Allen, you will use data science expertise and leadership to turn complex structured and unstructured data into useful information and help clients solve challenges across public and private sectors. You will work with clients to understand their questions and needs, analyze data-rich environments, and develop algorithms and systems with teammates. You will select appropriate tools and frameworks to transform disparate data into objective answers that support informed decisions, and explain what the data means and how it can be used.

Requirements

• At least 3 years of experience using programming languages to manipulate and analyze data, including Python, R, or SQL.
• Experience deploying and maintaining user-facing or user-accessible models.
• Experience with data cleansing, data analytics, inferential statistics, programming, data visualization, and system integration to provide data solutions.
• Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.
• Knowledge of research design principles.
• Knowledge of analytic methods and methodological tools used in applied mathematics, computer programming, or data visualization.
• Ability to apply supervised and unsupervised machine learning algorithms to structured and unstructured datasets.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree.

Nice To Haves

• Experience with project management, project planning, and technical documentation.
• Knowledge of psychometric theory and assessment validation methodologies such as Item Response Theory and Factor Analysis.
• Knowledge of data strategy and data governance.
• Ability to advise clients on the acquisition of data, data management, and data infrastructure.
• Ability to execute projects and tasks with minimal guidance and supervision.

Responsibilities

• Work closely with clients to understand their questions and needs.
• Analyze data-rich environments to find relevant information and insights.
• Guide teammates and lead the development of algorithms and systems.
• Use appropriate tools and frameworks to transform disparate data into objective answers that help clients make informed decisions.
• Provide clients with an understanding of data, its meaning, and its potential uses.

Benefits

• Health, life, and disability benefits.
• 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
• Career Level: Mid Level