Data Scientist

Booz Allen Hamilton•McLean, VA

1d•$62,000 - $141,000

About The Position

As a Data Scientist at Booz Allen, you will analyze complex structured and unstructured data to help clients make informed decisions and address challenges across private and public sectors. You will work closely with clients to understand their questions and needs, investigate data-rich environments, and collaborate with teammates to develop algorithms and systems. You will select appropriate tools and frameworks to transform disparate data into objective insights and explain what the data means and how it can be used. The role applies analytical skills to support real-world impact, including financial, operational, or strategic decision-making, process improvement, and business performance. Applicants must be able to obtain a Secret clearance. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. The projected annualized compensation range is $62,000 to $141,000 USD. Salary is determined by factors including location, education, knowledge, skills, competencies, experience, contract-specific affordability, and organizational requirements. Benefits include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. Regular full-time and part-time employees working at least 20 hours per week are eligible to participate in benefit programs, subject to the stated eligibility terms. The position’s work location type is not specified. Booz Allen describes remote, hybrid, and onsite arrangements generally; those descriptions do not identify the arrangement for this position. Virtual employees are generally expected to have cameras on during meetings. The hiring process includes identity verification using biometrics and AI, and candidates are expected to be on camera during interviews and assessments. Use of AI or other tools to assist with interview responses is prohibited unless explicitly permitted.

Requirements

Ability to perform data-driven analysis to support financial, operational, or strategic decision-making.
Ability to build, validate, and present analytical insights to cross-functional stakeholders and leadership teams.
Ability to identify process inefficiencies and use data to recommend solutions, optimize workflows, or improve business performance.
Ability to manage and prioritize multiple projects, timelines, and data deliverables in fast-paced environments.
Ability to obtain a Secret clearance.
Bachelor’s degree.

Nice To Haves

Experience in project management frameworks such as Agile and PMO practices, supporting data or analytics initiatives.
Experience conducting data-driven projects for process improvement and performance analysis.
Experience in analytics methodologies for benchmarking, market analysis, and identifying operational inefficiencies.
Ability to manage activities and tasks from start to finish.
Ability to quickly learn technical concepts and communicate with multiple functional groups.
Ability to display a positive, can-do attitude to solve challenges.
Strong analytical reasoning and problem-solving skills.
Master’s degree.

Responsibilities

Perform data-driven analysis to support financial, operational, or strategic decision-making.
Build, validate, and present analytical insights to cross-functional stakeholders and leadership teams.
Identify process inefficiencies and use data to recommend solutions, optimize workflows, or improve business performance.
Manage and prioritize multiple projects, timelines, and data deliverables in fast-paced environments.
Work with clients to understand their questions and needs and investigate data-rich environments.
Collaborate with teammates to develop algorithms and systems.
Use suitable tools and frameworks to turn disparate data points into objective answers that support informed client decisions.
Explain data findings, their meaning, and how they can be used.