Data Scientist

Booz Allen Hamilton • McLean, VA

4d • $99,000 - $225,000

About The Position

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

The role involves deploying and maintaining accessible models, applying machine learning, and developing data visualizations, dashboards, or lightweight web applications to communicate insights. Applicants must hold an active TS/SCI clearance with a polygraph. The position offers an annualized projected compensation range of $99,000 to $225,000, with compensation determined by factors including location, qualifications, experience, and organizational requirements.

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 data acquisition, data management, and data infrastructure.
• Ability to execute projects and tasks with minimal guidance and supervision.

Responsibilities

• Work with clients to understand their questions and needs.
• Analyze data-rich environments to identify useful information and provide answers.
• Guide teammates and lead the development of algorithms and systems.
• Use tools and frameworks to transform disparate data into objective answers that support informed client decisions.
• Deploy and maintain user-facing or user-accessible models.
• Develop data visualizations, dashboards, or lightweight web applications to communicate key insights.
• Apply data science methods to explain findings and how data can be used.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level