Senior Data Scientist

The Opportunity:

Are you passionate about uncovering insights hidden within complex datasets? As a Senior Data Scientist, you will explore the vast possibilities offered by IoT, machine learning, and artificial intelligence. At Booz Allen, you'll transform both structured and unstructured data into actionable insights that can address global challenges. Your contributions will span across various sectors, from fraud detection to healthcare advancements and national security.

Join our dynamic team where your leadership and data science skills will drive real-world impact. Collaborate closely with clients to understand their data needs and tackle their toughest questions by delving deep into rich datasets. Guide your team in developing algorithms and analytical systems, utilizing an array of tools and frameworks to synthesize disparate data points into informed solutions. Your expertise will help illuminate the meaning behind the data and how it can best serve our clients’ decision-making processes.

What You Need:
• 5+ years of experience with data science programming languages such as Python or R.
• Proficiency in creating ETL pipelines, including API queries, data cleaning, and schema design.
• Experience with version control tools like Git, GitLab, GitHub, or Bitbucket.
• Knowledge of statistical analysis, predictive modeling, and machine learning techniques.
• Ability to design and implement automated analytic software and algorithms.
• Experience in integrating free and open-source software (FOSS) or commercial products.
• Capability to produce data visualizations using tools like Kibana, Tableau, or Power BI.
• TS/SCI clearance is required.
• Bachelor’s degree with 5+ years of experience in data science or 7+ years of relevant experience in lieu of a degree.

Preferable Qualifications:
• Experience with GEOINT, HUMINT, MASINT, OSINT, SIGINT, including associated data and tools.
• Background in intelligence or operations analysis within the Department of Defense or Intelligence Community.
• Familiarity with developing and implementing ontological frameworks.
• Proficiency in developing algorithms using R, Python, SQL, and NoSQL.
• Experience with deep learning and AI frameworks like PyTorch, TensorFlow, or Keras.
• Knowledge of Retrieval-Augmented Generation (RAG) and Large Language Models (LLM).
• Experience with distributed data and computing tools such as MapReduce, Hadoop, Hive, or Spark.
• Proficiency in visualization tools, including Plotly, Seaborn, or ggplot2.
• Understanding of DevOps practices, including CI/CD pipelines and Jenkins.
• TS/SCI clearance with a polygraph is preferred.

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

Compensation: At Booz Allen, we value your contributions and offer comprehensive benefits, including health, life, disability, financial, and retirement options. Our compensation package includes total well-being support, along with opportunities for professional development, tuition assistance, and recognition for exceptional performance. Salary is influenced by various factors such as location and individual qualifications. The projected salary range for this role is $99,000 to $225,000 annually.

Identity Statement: During the application process, candidates are expected to appear on camera for interviews and assessments to validate their identity.

Work Model: Our people-first culture prioritizes flexibility and collaboration. If listed as remote or hybrid, you will periodically work from a Booz Allen or client site. If listed as onsite, collaboration with colleagues and clients in person will be expected.

Commitment to Non-Discrimination: We are committed to providing equal employment opportunities to all qualified applicants, without regard to disability or other protected statuses.