The Opportunity:  

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. 

On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.  

Work with us as we use data science for good.  

Join us. The world can’t wait.  

You Have:

• 5+ years of experience with data science or training in data science
• Experience developing and tuning AI/ML algorithms and implementing testing or validation approaches appropriate to available data and validation targets
• Experience using Python and appropriate libraries or extensions such as PyTorch, Cuda, or SciKit-Learn, to code and test AI/ML algorithms
• Experience communicating complex analytic methods or technologies to technical and non-technical audiences
• Experience with natural language processing tools and techniques
• Knowledge of descriptive statistics, regression, and data labeling or classification models
• TS/SCI clearance with a polygraph
• Bachelor’s degree

Nice If You Have:

• Experience with data extraction, parsing, manipulation, and storage
• Experience with quantitative and qualitative analyses based on the large volume of data from various IC databases 
• Experience leading technical teams in a management or subject matter expert advisory capability
• Experience conducting data extraction, parsing, manipulation, and analysis of large volumes of data from various IC databases
• Experience with data engineering techniques, especially for cloud-based data infrastructure and data lake environments
• Experience developing custom scripts, queries, or visualizations to support analysis of IC data
• Experience with cloud-based tools and services for ML algorithm development on multiple platforms such as AWS Sagemaker, Microsoft Azure ML, or Google BigQuery

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.

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.