Data Scientist, Senior

About the role

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.

Responsibilities

• Create and maintain ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
• Develop and implement automated analytic software, techniques, and algorithms
• Design and develop solutions and integrate and extend free and open-source software (FOSS) or commercial off-the-shelf (COTS) products
• Generate data visualizations with tools such as Kibana, Tableau, or Power BI
• Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients as they make informed decisions
• Provide a deep understanding of the data, what it all means, and how it can be used

Requirements

• 5+ years of experience using data science programming languages, such as Python or R
• Experience with version control tools, including Git, GitLab, GitHub, or Bitbucket
• Knowledge of statistical analysis, predictive modeling, and machine learning methods
• Ability to design and develop automated analytic software, techniques, and algorithms
• Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products
• Ability to generate data visualizations with tools, such as Kibana, Tableau, or Power BI

Qualifications

• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor’s degree

Skills

• Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT, and the data and tools associated with these disciplines
• Experience with intelligence or operations analysis in the DoD or Intelligence Community
• Experience developing and implementing ontological frameworks
• Experience in the development of algorithms leveraging R, Python, or SQL and NoSQL
• Experience working with Deep Learning and AI frameworks, including PyTorch, TensorFlow, and Keras
• Experience working with Retrieval-Augmented Generation (RAG) and Large Language Models (LLM)
• 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
• Knowledge of DevOps, including CI/CD pipelines and Jenkins

Benefits

• 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.

Pay

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD).

Schedule

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.

Oncsite: 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.