Urgent! Machine Learning Engineer / Data Scientist Job Opening In USA, USA – Now Hiring Prometheus Federal Services
Position Summary Prometheus Federal Services (PFS) is a trusted partner of federal health agencies, seeking a Machine Learning Engineer/Data Scientist to support advanced analytics initiatives within the Department of Veterans Affairs.
This position will drive innovation in predictive analytics, machine learning (ML), and artificial intelligence (AI) to improve operational decision-making and health outcomes across the Veterans Health Administration.
Additionally, this position will support PFS in scaling tools and expanding knowledge of AI within corporate applications.
Essential Duties and Responsibilities Drive the development and deployment of cutting-edge data science solutions to address complex organizational challenges.
Collaborate with multi-disciplinary teams, shaping strategic initiatives that innovate and optimize business operations through advanced analytics, predictive modeling, and automation.
Perform advanced statistical analyses and data modeling to extract actionable insights from large, complex federal healthcare datasets.
Design, develop, and deploy AI/ML models for predictive analytics, natural language processing, and decision support systems.
Design, develop, and deploy robust machine learning and deep learning models for a variety of data-driven use cases.
Develop reproducible workflows, documentation, and scalable pipelines for data ingestion, feature engineering, model training, validation, and deployment.
Continuously research and apply state-of-the-art AI/ML methods to improve accuracy, interpretability, and scalability of deployed models.
Drive knowledge sharing by introducing new tools, frameworks, and methodologies reflective of AI/ML best practices.
Support client stakeholders by presenting findings in clear, compelling visualizations and narratives for executive audiences.
Minimum Qualification Master's degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field.
Minimum five (5) years of experience applying machine learning or AI techniques to solve real-world problems, with a focus on deploying production-grade solutions.
Demonstrated expertise with Python (preferred) or R, including building and packaging reusable code, modules, and libraries.
Hands-on experience with ML libraries such as scikit-learn, TensorFlow, or PyTorch, and a strong understanding of model lifecycle management (training, tuning, deployment, monitoring).
Demonstrated experience implementing production-grade machine learning solutions and deploying at scale (on-premise or on cloud platforms such as AWS, Azure, or GCP).
Experience implementing end-to-end Python projects and tooling, including automation scripts, data pipelines, and reproducible workflows.
Proven ability to design, develop, and document RESTful APIs and integrate with major APIs (e.g., OpenAI, Azure Cognitive Services, Hugging Face).
Familiarity with version control (Git/GitHub), CI/CD pipelines, and DevOps/MLOps best practices.
Strong understanding of statistical modeling, supervised/unsupervised learning, and model evaluation metrics.
Must have strong typing and computer skills.
Must be able to read, understand, speak, and write English fluently.
Authorized to work in the U.S. indefinitely without sponsorship.
Ability to obtain a public trust.
Preferred Qualification Ten (10) years of experience applying machine learning and AI techniques to solve real-world problems.
Experience supporting the Department of Veterans Affairs or other federal health systems.
Familiarity with VHA data sources (CDW, VSSC, IPEC) and healthcare-related metrics.
Knowledge of MLOps best practices, including CI/CD for ML pipelines and modeling monitoring.
Experience communicating technical results to senior government leaders and non-technical stakeholders.
All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
This position may be subject to client or government vaccination, policy, or requirements that may change from time to time.
The work location is flexible if the company approves it, except that the position may not be performed remotely from Colorado.
PFS offers a comprehensive benefits package that includes health insurance, dental and vision insurance, flexible spending accounts, disability insurance, life insurance, a retirement plan, paid time off, remote work, and other benefits to accommodate what matters most to you and your family.
Learn more about PFS Benefits.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in United States, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in United States, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 11027 jobs in United States and 81 jobs in United States. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Prometheus Federal Services is currently hiring and seeking a Machine Learning Engineer / Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Machine Learning Engineer / Data Scientist Jobs United States.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Prometheus Federal Services adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer / Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in United States. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Machine Learning Engineer / Data Scientist typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Machine Learning Engineer / Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer / Data Scientist interview at Prometheus Federal Services, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Prometheus Federal Services's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Machine Learning Engineer / Data Scientist is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!