Data Scientist

Data Scientist

The Opportunity:

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 deep data science and machine learning expertise, coupled with an original approach to your work, will guide clients and stakeholders as they make sense of their data and encourage actionable results. We’re looking for someone like you to land and lead complex data exploration and analytics projects through your experience with machine learning development and deployment for the detection of fraud, waste, and abuse. 

As an advanced data scientist and researcher on our AI team, you’ll learn and apply innovative AI and data science methodologies and deployment techniques to make a real-world impact on the mission of our civilian clients. You’ll grow your skills in data science, and machine learning operationalization process, and shape the future of analytics through a variety of means like white papers, client presentations, and client interactions.

We’ll keep you sharp and moving forward in your career, with access to online courses, and the latest tools and methods. Whether you’re using AI to find fraud or noncompliance, obtain operational efficiencies, improve citizen experience, or help other mission needs, you’ll guide a team that serves critical missions from end to end.

Join us. The world can’t wait.

You Have:

• 2+ years of experience in ML, data science, computer science, or computational engineering

• 4+ years of experience working in major scripting languages, including Python, Java, R, or C++

• 2+ years of experience researching and developing operational concepts in artificial intelligence and ML, mathematical or statistical models, and data exploration, analysis, and synthesis

• Experience developing advanced methods and techniques to store, manipulate, transform, and present information in support of all-source intelligence analysis and production

• Experience working with and presenting to non-technical personnel

• Knowledge of research design principles

• Knowledge of analytic methods and methodological tools in applied mathematics, computer programming, or data visualization

• Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets

• TS/SCI clearance

• Bachelor’s degree

Nice If You Have:

• Experience with the full life cycle of machine learning development and deployment, including gathering requirements, identifying data, preparing data, and building, validating, and using deployable predictive models with the usage having tangible results

• Experience with Databricks or cloud AI environments

• Knowledge of data strategy and data governance

• Ability to execute projects and tasks with minimal guidance and supervision 

• Knowledge of Agile and Scrum processes

• Possession of excellent verbal and written communication skills

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

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.

Identity Statement

As part of the application process, 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.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.