Full Stack Data Scientist

Category: Software Development/ Engineering

Main location: United States, District of Columbia, Washington

Position ID:J0626-0223

Employment Type: Full Time

Position Description:

CGI is seeking a Full Stack Data Scientist to design, develop, and deploy scalable AI/ML solutions that solve complex business challenges within a highly regulated financial services environment. This role is responsible for the complete machine learning lifecycle, including problem formulation, data preparation, model development, application engineering, deployment, monitoring, and operational support.

This role is located at a client site in Washington, DC. A hybrid working model is acceptable.

Your future duties and responsibilities:

CGI is seeking a Full Stack Data Scientist to design, develop, and deploy scalable AI/ML solutions that solve complex business challenges within a highly regulated financial services environment. This role is responsible for the complete machine learning lifecycle, including problem formulation, data preparation, model development, application engineering, deployment, monitoring, and operational support.

The ideal candidate combines strong data science expertise with software engineering and MLOps capabilities to build production-ready AI/ML applications. Working closely with business stakeholders, engineering teams, and cloud platform teams, this individual will develop reliable, scalable solutions leveraging AWS-based technologies and modern machine learning practices.

Key responsibilities include building and maintaining machine learning models, developing data pipelines and model-driven applications, implementing monitoring and governance controls, and ensuring solutions meet performance, compliance, and operational requirements.

Required qualifications to be successful in this role:

. 5+ years of hands-on experience developing and deploying production-ready machine learning models and AI applications, including experience supporting solutions in production environments through MLOps practices.
. Strong experience designing and deploying machine learning and AI solutions in production environments.
. Advanced Python development skills, including experience building maintainable, scalable applications and data pipelines.
. Solid background in statistical modeling, predictive analytics, and machine learning algorithms.
. Experience working with AWS cloud services such as SageMaker, S3, Redshift, and related compute services.
. Hands-on knowledge of MLOps practices including model deployment, version control, CI/CD, monitoring, and retraining strategies.
. Proficiency with data processing and analytics tools including Pandas, NumPy, Scikit-learn, TensorFlow, and PySpark.
. Strong SQL skills and experience working with large-scale datasets and distributed processing frameworks.
. Experience developing real-time and batch-processing AI/ML applications and services.
. Understanding of model performance monitoring, data drift detection, and operational reliability best practices.
. Familiarity with model governance, validation, auditability, and documentation requirements common in financial services organizations.
. Strong analytical thinking, problem-solving ability, and communication skills.
. Ability to collaborate effectively with data engineers, software developers, cloud architects, and business stakeholders.

Desired Skillset:

. Master's degree in a related discipline preferred.
. Relevant cloud or machine learning certifications (AWS Certified Machine Learning, AWS Certified Solutions Architect, etc.) are beneficial but not required.

Education:
Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field required.

Other Information:
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 $111,600.00 - $154,300.00.

CGI'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

Skills:

• Amazon Web Services Cloud
• Data Analysis
• Data Engineering
• Data Engineering
• Data Science
• Problem Solving
• Python
• SQL