Data Visualization Engineer

As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.

• 5+ years of experience with Data analysis, such as recognizing and investigating data quality and various data types, including discerning structure and relationships within data
• 5+ years of experience with Data visualization, such as creating charts with basic design principles
• 5+ years of experience with Data pipeline engineering, such as executing data transformation stages
• 4+ years of experience with programming languages, including Python, R, or SQL, for data manipulation and analysis
• Experience working in Foundry, including building or maintaining data pipelines with Code Repository
• Knowledge of database-driven application development and design
• Ability to develop and maintain interactive dashboards and visualizations in Foundry, Power BI, Tableau, or Qlik to communicate data insights to business stakeholders
• Ability to collaborate with business analysts or users to clarify requirements, work closely with different business groups to comprehend and respond to their reporting and dashboard needs, be self-motivated, and pay strict attention to detail
• Secret clearance
• Bachelor’s degree in CS, Data Science, or Computer Engineering

Nice If You Have:

• Experience with analytics and data science techniques, including AI/ML
• Experience with DoD clients
• Experience with Army data systems
• Knowledge of front-end design and data visualization techniques and best practices
• Knowledge of Military terms
• Ability to learn technical concepts quickly and communicate with multiple functional groups
• Possession of excellent verbal and written communication skills
• Possession of strong analytical, problem-solving, and critical thinking skills
• Master’s degree in CS, Data Science, Computer Engineering or a related field

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.