Flexible Full Stack Data Scientist Jobs (NOW HIRING)

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.
We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!.
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

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.