Advanced Data Scientist

The Opportunity:

Are you excited at the prospect of unlocking the secrets hidden within complex data? Are you fascinated by the possibilities presented by advances in artificial intelligence and machine learning? We have an opportunity for you to apply your experience in deep learning frameworks, natural language processing, and Large Language Models (LLMs) for the DoD.  

As an advanced Data Scientist in Booz Allen’s Chief Data Office, you’ll work closely with a diverse team of professionals to understand client needs and solve complex problems through the application of artificial intelligence. You’ll mentor and learn from teammates, design and run advanced experiments, and evaluate multifaceted data. Join us as we advance the state-of-the-art in artificial intelligence. 

Join us. The world can’t wait.

You Have:  

• 2+ years of experience applying data science techniques and machine learning algorithms and methodologies to solve real-world problems

• Experience implementing data analysis within programming languages, such as Python or R, including deep learning libraries such as TensorFlow or PyTorch

• Experience analyzing complex data sets using data analysis and visualization software

• Ability to explain complex technical concepts to experienced and non-experienced groups

• Ability to learn and apply unfamiliar software quickly and independently

• Ability to obtain a Top Secret clearance

• Bachelor's degree in Physics, Material Science, Electrical Engineering, Mathematics, Information Science, Data Science, or Computer Science

Nice If You Have:  

• 5+ years of experience developing and implementing data science and machine learning applications or tools

• Knowledge of LLMs built around transformer architectures

• Knowledge of current research in Deep Learning for Natural Language Processing

• Knowledge of different software development approaches, including DevSecOps and AIOps

• Master’s degree in Physics, Material Science, Electrical Engineering, Mathematics, Information Science, Data Science, or Computer Science preferred; Doctorate degree in Physics, Material Science, Electrical Engineering, Mathematics, Information Science, Data Science, or Computer Science a plus

• IT Security Certification such as CompTIA Security+ Certification

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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 $75,600.00 to $172,000.00 (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.