Senior Data Scientist

The Opportunity

Are you a passionate data scientist eager to uncover insights from complex data sets? Join us at Booz Allen, where we harness the power of IoT, machine learning, and artificial intelligence to drive meaningful change. With an ever-expanding realm of structured and unstructured data at our fingertips, you will play a critical role in addressing global challenges across diverse sectors such as fraud detection, cancer research, and national intelligence.

As a Senior Data Scientist, you will leverage your leadership skills and expertise to shape real-world solutions. Collaborating closely with clients, you will dive into their data-rich environments, piecing together information to guide informed decision-making. You will mentor teammates and lead the development of innovative algorithms and systems, utilizing the most effective tools and frameworks to derive actionable insights. Your ability to decode the data and illuminate its significance will empower our clients to navigate their unique challenges.

Join us in using data science for good!

What You Bring

• Over 5 years of experience with data science programming languages like Python or R
• Proficiency in creating ETL pipelines, including querying APIs, cleaning data, and setting up data storage schemas
• Experience with version control tools such as Git, GitLab, GitHub, or Bitbucket
• Strong knowledge of statistical analysis, predictive modeling, and machine learning techniques
• Capability to design and develop automated analytics software and algorithms
• Expertise in developing solutions, integrating, and extending free and open-source or commercial tools
• Adept at generating visual data representations using tools like Kibana, Tableau, or Power BI
• Current TS/SCI clearance
• Bachelor's degree with 5+ years in data science or 7+ years in data science experience in lieu of a degree

Bonus Skills

• Experience in working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT data
• Familiarity with intelligence or operational analysis in the DoD or Intelligence Community
• Experience in creating and implementing ontological frameworks
• Development of algorithms using R, Python, SQL, or NoSQL
• Background with deep learning and AI frameworks, such as PyTorch, TensorFlow, and Keras
• Experience with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
• Exposure to distributed data and computing tools like MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
• Knowledge of visualization packages, including Plotly, Seaborn, or ggplot2
• Understanding of DevOps practices, including CI/CD pipelines and Jenkins
• TS/SCI clearance with polygraph

Clearance

Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; a TS/SCI clearance is mandatory.

Compensation

At Booz Allen, we value your contributions and provide comprehensive benefits to support your well-being, including health, life, disability, financial, and retirement services. Additionally, we offer paid leave, professional development, and tuition assistance. The salary range for this position is $99,000.00 to $225,000.00 annually, reflecting various factors such as location and individual experience.

This posting will remain open for 90 days from the date of posting.

Identity Statement

During the hiring process, you may need to complete an identity verification procedure using advanced biometric technology to ensure authenticity and prevent identity fraud.

AI Usage Policy

At Booz Allen, we embrace AI in our daily work, yet we prioritize a fair candidate process based on your skills. The use of AI tools for assistance in interviews is prohibited unless explicitly allowed.

Work Model

Our people-focused culture emphasizes the benefits of collaboration, whether in person or virtually. Employees who work remotely are expected to have cameras on during meetings. The work model for this position may vary:

• Remote: Potential for occasional in-person work.
• Hybrid: Regular onsite presence at a Booz Allen facility is expected, based on role requirements.
• Onsite: Primarily based at a Booz Allen office or client facility, collaborating closely with colleagues and clients.

Commitment to Non-Discrimination

All qualified applicants will be considered for employment without regard to disability, protected veteran status, or any other legally protected status.