Data Scientist

About the Role

As an analytics professional, 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. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your data science knowledge and advising expertise, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone to steer complex data exploration and analytics projects through your experience with SQL, R, Python, or other programming languages for the Department of Defense.

We’ll keep you sharp and moving forward in your career with access to online courses, the latest tools and methods, and opportunities to develop industry-facing publications and presentations. You’ll collaborate with a team that serves missions from end to end.

Requirements

• 6+ years of experience with statistical and general-purpose programming languages for data analysis
• 5+ years of experience with data exploration, data cleaning, data visualization, or data mining
• 5+ years of experience analyzing structured and unstructured data sources
• 4+ years of experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• 4+ years of experience with natural language processing, text mining, or machine learning techniques
• Ability to be a self-starter, identify opportunities to contribute to a team, and apply critical thinking to a wide variety of problems
• Top Secret clearance
• Bachelor's degree

Preferred Qualifications

• 6+ years of experience with data science, dashboard development, data analytics, statistics, or machine learning engineering
• 2+ years of experience using and developing within Maven Smart System
• Experience using object-oriented programming languages, including Python, R, or Java
• Experience with Tableau, SQL, Power BI, Microsoft Access, or Power Query
• Experience collecting, analyzing, and inputting data in shared information systems
• Knowledge of statistical analysis, time series analysis, and optimization
• Knowledge of Department of Defense data environments and the Joint Staff, Combatant Command, or Service headquarters
• Excellent verbal and written communication skills to effectively communicate complex ideas to senior leaders
• TS/SCI clearance
• Master's degree in Data Science or Analytics

Benefits

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
• Paid leave
• Professional development and tuition assistance
• Work-life programs and dependent care
• Recognition awards program 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.

Pay

Salary 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 $69,400.00 to $158,000.00 (annualized USD).

Schedule

This posting will close within 90 days from the posting date.

Work models include:

• Remote: Generally virtual, but may require occasional in-person work at a Booz Allen or customer facility.
• Hybrid: Frequent work from a Booz Allen facility, with potential visits to customer facilities as needed.
• Onsite: Work primarily performed at a Booz Allen office or customer facility, collaborating directly with colleagues and customers.

For virtual and hybrid roles, employees are generally expected to have their cameras on during meetings to support engagement and effective communication.