Applied Data Scientist

Booz Allen Hamilton

Arlington (VA)

On-site

USD 99,000 - 225,000

Full time

14 days+

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Benefits offered by this job

Health benefits
Professional development
Tuition assistance
Paid leave

Job summary

Booz Allen Hamilton is hiring an Applied Data Scientist based in Arlington, Virginia. In this role, you will design, develop, and deploy machine learning and AI capabilities that have a tangible impact. You'll collaborate with clients to transform data into operational systems, building models and algorithms for real-world applications.

Ideal candidates will have a Bachelor’s degree and experience with machine learning, production-quality Python code, and software engineering practices. Compensation ranges from $99,000 to $225,000 annually.

Qualifications

  • Experience developing and deploying ML and AI solutions.
  • Ability to obtain a Secret clearance.
  • Experience working in Linux-based or cloud-based environments.

Responsibilities

  • Design and implement machine learning models.
  • Build supporting data pipelines.
  • Deploy capabilities into production environments.

Skills

Machine learning or AI algorithms
Production-quality code in Python
End-to-end ML pipelines
Working with structured and unstructured data
Modern software engineering practices

Education

Bachelor's degree

Tools

Docker
Kubernetes
Spark
Kafka

Job description

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 develop ing 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 met hods, machine learning, and sof tware 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.

  • Experience develop ingmachine learning or AI algorithms and applying pre-built models
  • Experience building and deploying ML and AI solutions intoproduction or operational environments
  • Experience designing and implementingend-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 met hods
  • Experience working in Linux-based or cloud-based environments
  • Experience using modern sof tware engineering practices, such as Git, testing, or CI / CD
  • Ability to obtain a Secret clearance
  • Bachelor's degree
  • 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 sof tware 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.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. 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. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits 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). 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. This posting will close within 90 days from the Posting Date.

Commitment to Non-Discrimination

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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