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Predictive Analytics Engineer

2 months ago

Arlington, Virginia, United States Booz Allen Hamilton Full time

Position Overview:

Are you passionate about developing cutting-edge solutions to intricate problems while collaborating with a team of skilled technology experts? As a seasoned data professional, you recognize that machine learning (ML) plays a pivotal role in analyzing and interpreting extensive datasets. Your technical acumen is essential to advancing federal healthcare initiatives.

In the role of a machine learning engineer, you will be responsible for training, testing, deploying, and maintaining models that learn from data. Your proficiency in conducting statistical evaluations on business operations using ML methodologies is crucial, making you a vital contributor to delivering client-centered solutions. You will take ownership of defining the trajectory of mission-critical solutions by employing optimal ML algorithms and technologies. You will engage with a broad network of ML engineers across the organization and work alongside data engineers, data scientists, solutions architects, and product owners to create world-class solutions that provide mentorship, training, and address real-world challenges. You will process vast amounts of data and perform A/B testing on statistical models, ML algorithms, and systems. Your advanced consulting capabilities and extensive technical knowledge will assist clients in navigating the complexities of ML algorithms, tools, and frameworks. If you are driven to tackle real-world issues and shape ML strategies for healthcare within the federal sector, there is a place for you here. At Booz Allen, you will make a significant impact, and in return, we will invest in your professional growth.

Qualifications:

  • 2+ years of experience in data science, software engineering, ML engineering, or relevant postdoctoral research
  • Experience in deploying ML models
  • TS/SCI clearance required
  • Bachelor's degree

Preferred Qualifications:

  • Familiarity with natural language processing and large language models (LLM)
  • Experience in developing software architectures utilizing containerization tools, such as Docker and Kubernetes
  • Proficiency in programming languages including Python, Java, or C++
  • Experience with databases, particularly SQL
  • Knowledge of ML techniques, including linear, reinforcement learning, tree-based, or deep learning methods, along with regularization strategies
  • Experience with the RAG framework
  • Background in software development, including API development or database management, and model deployment using JavaScript frameworks such as React or Angular
  • Familiarity with cloud platforms like AWS, Azure, and GCP
  • Ability to operate in a Linux environment with bash scripting
  • Master's degree preferred

Clearance Requirements:

Selected applicants will undergo a security investigation and may need to meet eligibility criteria for access to classified information; TS/SCI clearance is mandatory.

Compensation and Benefits:

At Booz Allen, we value your contributions and provide a range of opportunities and benefits to support your overall well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life balance programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and exemplary demonstration of our values. Full-time and part-time employees working a minimum of 20 hours per week on a regular basis are eligible for Booz Allen's benefit programs. We encourage you to explore our comprehensive benefits by visiting our Careers site.

Work Model:

Our people-first culture emphasizes flexibility and collaboration, whether in-person or remote.

  • If this position is designated as remote or hybrid, you will occasionally work from a Booz Allen or client site.
  • If this position is onsite, you will collaborate with colleagues and clients in person as required.

Diversity and Inclusion:

We are an equal employment opportunity/affirmative action employer that empowers our workforce to drive change fearlessly, regardless of race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable law.