Applied Data Scientist

The Opportunity: As a data scientist, you're excited about building intelligent systems, not just analyzing data. You're motivated to design, develop, and deploy machine learning and AI-driven capabilities that operate in real-world environments.

In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you'll transform these data into operational systems by developing algorithms, training models, and deploying solutions that perform reliably at scale.

On our team, you'll work closely with clients to understand mission needs and translate them into technical solutions. You'll design and implement machine learning models, build supporting data pipelines, and deploy capabilities into production environments.

You'll apply a mix of statistical methods, machine learning, and software engineering to deliver end-to-end solutions. You'll help move beyond analysis to create robust, maintainable AI and ML systems that deliver measurable impact.

Work with us as we use data science for good. Join us. The world can't wait.

You Have: Experience developing machine learning or AI algorithms and applying pre-built models Experience building and deploying ML and AI solutions into production or operational environments Experience designing and implementing end-to-end ML pipelines, including data ingestion, training, evaluation, and deployment Experience writing production-quality code in languages, such as Python Experience working with structured and unstructured data at scale Experience applying techniques such as optimization, simulation, or advanced machine learning methods Experience working in Linux-based or cloud-based environments Experience using modern software engineering practices, such as Git, testing, or CI/CD Ability to obtain a Secret clearance Bachelor's degree Nice If You Have: Experience with deep learning, reinforcement learning, or advanced AI techniques Experience building or fine-tuning custom models Experience with containerization and deployment tools, such as Docker and Kubernetes Experience with distributed data processing tools, such as Spark and Kafka Experience integrating ML and AI capabilities into larger software systems Experience with optimization frameworks or simulation-based modeling Experience working with DoW customers Experience communicating complex technical concepts to non-technical stakeholders TS/SCI clearance Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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.