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 analytics and machine learning expertise and consulting mindset, 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 like you to lead complex data exploration and analytics projects through your experience with Python and AI/ML for the Department of Defense.
As an advanced data scientist on our Navy team, you’ll learn and apply innovative data analytic methodologies to make a real-world impact on the development of decision support tools. You’ll grow your skills in data science, AI, and bibliometrics. You’ll shape the future of analytics through innovative portfolio analysis and decision support tooling in DoD environments.
We’ll keep you sharp and moving forward in your career, with access to online courses, communities of practice, and opportunities to publish or present at conferences. Whether you’re using AI to improve government efficiency or support the development of defense capabilities, you’ll guide a team that serves critical missions from end to end.
Join us. The world can’t wait.
You Have:
5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
5+ years of experience with statistical and general-purpose programming languages for data analysis and analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, object-oriented programming, and visualization of targeted data sources
Experience clustering and topic modeling, automated query generation, implementation of Generative AI and Large Language Models, natural language processing of unstructured data, entity disambiguation, network analysis, bibliometric and citation analysis, econometric analysis, relationship extraction, or Science and Technology forecasting
Experience in data science tool development, ETL data pipeline development, and Python
Experience devising and managing AI, ML, and GenAI based projects aligned to business needs
Ability to cross-validate models to ensure their generalizability
Secret clearance
Bachelor’s degree in Computer Science, Data Science, Computer Engineering, or Statistics
CompTIA Security+ CE, Unix +, or AWS Solutions Architect Certification
Nice If You Have:
Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
Experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Experience coordinating a workstream and managing tasks
Experience in data science with a focus on Science and Technology programs
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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.
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 $99,000.00 to $225,000.00 (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 hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. 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.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Booz Allen is hiring a Platform DevOps Engineer to build and secure GitLab-based CI/CD pipelines and containerized C/C++/C# applications for critical, mission-driven systems.
Booz Allen is hiring a Lead Agile Coach to drive scrum practices, Jira administration, and agile transformation for complex government data programs in McLean, VA.
An experienced channel analytics and BI professional to design data models, dashboards, and integrations that enable NVIDIA's partner programs and sales channel operations.
Lead OnLogic’s AI strategy and delivery as Manager, AI — building scalable ML, LLM, and computer vision solutions to drive operational improvements at our South Burlington facility.
Dell Medical School seeks an experienced Data Science Analyst II to build and operationalize predictive models and data pipelines that inform clinical and operational decisions across the health system.
GoodAtNumbers is hiring a US-based remote Machine Learning Engineer Intern to push ML research into production by building, evaluating, and deploying reliable LLM-driven features during a paid 12-week summer internship.
The Cigna Group is hiring an experienced Data Science Advisor to develop predictive models and translate analytics into underwriting and pricing recommendations that drive profitable growth.
Experienced data science leader wanted to design, deploy, and lead analytics solutions (models, dashboards, APIs) for CLA's Internal IT and client projects while mentoring team members and supporting business development.
Join Elsevier’s generative AI team to design, prototype, and govern high-quality conversational AI experiences that deliver evidence-backed clinical answers at the point of care.
Experienced data scientist needed to lead risk and fraud modeling efforts at PayPal, building production ML systems and monitoring to reduce fraud and improve decisioning.
HHMI seeks an AI Engineer to develop and validate deep learning approaches for particle detection and mesoscale structural analysis in cryo-electron tomography at the Janelia Research Campus.
Experienced ML researcher sought to advance and deploy deep learning and generative AI solutions at Layer 6, TD Bank's AI research center in New York.
Drive product decisions for Spotify Premium as a Data Scientist focused on experimentation, AI-enabled analytics, and insights that increase conversion and retention.
Micron seeks an experienced Staff Data Scientist to lead the architecture and production deployment of agentic AI and LLM-based systems that accelerate semiconductor design and manufacturing workflows.