Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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, you know the answers are in the data.
You’ll work closely with your customer to understand their questions and needs and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop data collection tools, data visualizations and dashboard, algorithms, and scripts to process data or conduct predictive analytics leveraging machine learning or other approaches. You’ll use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help Air Force leaders make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in aerospace mission solutions.
5+ years of experiencewith Python-based data analysis, including anomaly detection and exploratory data analysis (EDA) with a focus on machine learning and data science applications

- 5+ years of experiencedesigning and implementing API-based data integration pipelines
- 3+ years of experience integrating ML models into production web applications beyond prototyping such as Jupyter notebooks
- 3+ years of experience managing the full lifecycle of data science and AI projects at an enterprise or real-world scale
- 2+ years of experience working with varied data formats including text, time-series, image,



and signals for algorithms and model training
- Knowledgeof statistical concepts such as confidence intervals and error significance, mathematical modeling, and optimization techniques
- Abilityto communicate and share insights with both technical and non-technical audiences
- Bachelor’s degreein Data Science, Computer Science, Information Science, or Engineering

Experience using cloud platforms such as AWS to deploy and optimize data solutions

- Experience with Agile development tools like JIRA and Confluence
- Experience collaborating with cross-functional, multidisciplinary teams on mission-critical projects
- Knowledge of geospatial data formats such as GeoJSON and WKT or ISR workflows
- Knowledge of real-time streaming design patterns, event-driven data workflows, and data governance frameworks
- Knowledge of IC-compliant standards and processes for managing sensitive or classified data
- 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. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Perks 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). 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. 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. 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.
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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.
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.
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📌 Data Scientist Senior - Remote (Vancouver)
🏢 Booz Allen Hamilton
📍 Vancouver