AI/ML Data Scientist

Position Description:

The AI/ML Data Scientist serves as the technical backbone of the program analytics capability, responsible for building, training, and deploying machine learning models that transform raw vehicle sensor data into predictive maintenance insights. Operating within the Microsoft Azure MCEN and Jupiter/Advana cloud environments, this individual develops anomaly detection algorithms, predictive failure models, and health scoring systems that enable condition-based maintenance decisions.
The role requires privileged access to Government cloud computing environments, and the ability to translate complex data science into operationally understandable outputs that Marine maintainers can act upon.
This position works hand-in-hand with the Sr Maintenance Functional SME to ensure models are operationally validated, the Jr Maintenance SME & Information Specialist to ensure outputs are expressed in maintainer language, and the Data Visualization Developer to ensure insights are presented effectively.
This position is located in Quantico, VA.

Your future duties and responsibilities:

Design, build, train, and deploy AI/ML models for predictive maintenance, anomaly detection, and equipment health scoring within Azure MCEN and Jupiter/Advana environments per PWS 3.3.1
Develop and maintain the data Extract, Transform, and Load (ETL) pipeline from data logger ingestion through the Azure cloud stack to dashboard outputs per PWS 3.3.2
Analyze CAN bus data (J1939/J1708 protocols) including thermal analysis, fuel system diagnostics, vibration/shock data, and component operating parameters
Collaborate with the Sr Maintenance Functional SME to validate model outputs against real-world maintenance outcomes and refine prediction accuracy targets (>80% positive predictive value)
Optimize cloud architecture for scalability as the program expands from initial deployment to 3,000-10,000+ data loggers per PWS 3.3.7
Incorporate additional data sources into the program data pipeline including GCSS-MC maintenance records, EFAS fluid analysis, and enterprise logistics data per PWS 3.3.8
Support current dashboards, data pipelines, policies, and procedures from data entry point to Jupiter/Advana per PWS 3.3.4
Develop and refine data query frameworks that enable Marine Corps data analysis requests for ad-hoc reporting and trend analysis
Perform daily monitoring of data processes during normal business hours to proactively identify pipeline issues per PWS 3.3.7
Support Jira task tracking, Wiki management, onboarding of contractor personnel to cloud environments, and data governance policies per PWS 3.3.7
Leverage Microsoft Azure's native AI/ML capabilities including Azure Machine Learning for model training and deployment, and DataBricks for advanced analytics

Required qualifications to be successful in this role:

Master's degree in Data Science, Computer Science, Applied Mathematics, or related quantitative field (or Bachelor's with 5+ additional years of experience)
5+ years of experience developing and deploying ML models in production environments
Proficiency in Python, R, or equivalent, with experience in scikit-learn, TensorFlow, PyTorch, or similar frameworks
Experience with Microsoft Azure cloud services, Azure Machine Learning, and DataBricks
Experience building ETL pipelines and working with structured and unstructured sensor/IoT data
Security+ certification or equivalent IAT-II certification (or ability to obtain within 90 days of start)
Active Secret clearance
Experience working in DoD or Federal Government cloud environments
Preferred Qualifications
Experience with CAN bus data, vehicle telemetry, or industrial IoT sensor analytics
Familiarity with predictive maintenance, condition monitoring, or reliability engineering domains
Experience with Qlik, Power BI, or similar visualization tools in government environments
Prior experience on the Marine Corps Enterprise Network (MCEN) or with Azure Government cloud
Understanding of DoD Cybersecurity Framework (RMF), NIST 800-53 controls, and STIG compliance
Experience with the Jupiter/Advana analytics environment
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CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $79,600.00 - $153,300.00.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
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Skills:

• Data Visualisation
• Development (Fed)
• Python
• Scikit-Learn

What you can expect from us:

Together, as owners, let's turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because...

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.

Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team-one of the largest IT and business consulting services firms in the world.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.