Data Scientist, Senior

Data Scientist, Senior

The Opportunity: 

As a programmer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical analyses on business processes using ML techniques makes you an integral part of delivering a customer-focused solution. We need your technical knowledge and desire to problem-solve to support our Intelligence Community clients with their most complex technical challenges. As a machine learning engineer on our National Security team, you’ll train, test, deploy, and maintain models that learn from data.  

In this role, you’ll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You’ll grow within a large community of machine learning engineers across the firm and collaborate with data engineers, data scientists, solutions architects, and project owners to deliver world-class solutions to deliver solutions to real-world problems. Your consulting skills and technical experience will help your clients navigate the landscape of ML algorithms, tools, and frameworks. 

Join us. The world can’t wait. 

You Have:  

• 5+ years of experience in ML, data science, computer science, or computational engineering
• 5+ years of experience working in major scripting languages, including Python, Java, R, or C++
• 5+ years of experience researching and developing operational concepts in artificial intelligence and ML, mathematical or statistical models, and data exploration, analysis, and synthesis
• 1+ years of experience developing advanced methods and techniques to store, manipulate, transform, and present information in support of all-source intelligence analysis and production
• TS/SCI clearance with a polygraph
• Bachelor's degree in Data, Engineering, Physics, Mathematics, or Statistics

Nice If You Have:  

• Experience supporting the development of intelligence products from varied, multi-source, and large data sources
• Experience developing scripts, procedures, and processes for extracting and processing data using existing tools and capabilities to derive data-driven analytic insights to support mission requirements
• Knowledge of containerized deployment, including Docker, Kubernetes, or OpenShift
• Ability to learn new programming languages
• Master's degree preferred; Doctorate degree a plus

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 with polygraph 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.

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 $96,600.00 to $220,000.00 (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 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.