Job Title: Data Scientist - AI/ML (Hands-on)

Location: Saskatoon, Canada

JOB DESCRIPTION 

We seek a Data Scientist specializing in AI/ML to design, develop, and deploy data-driven models that solve complex business problems. In this role, you will apply advanced machine learning techniques, work hands-on with data, and collaborate closely with engineering and DevOps teams to ensure seamless deployment and monitoring of models in production, incorporating CI/CD practices for continuous improvement and reliability.

Key Responsibilities:

• Develop and implement machine learning models for various business use cases, ensuring high performance and alignment with strategic objectives.
• Preprocess, clean, and explore large datasets, leveraging feature engineering and data transformation techniques to enhance model quality.
• Deploy models into production environments using Azure Machine Learning (Azure ML) and monitor performance, implementing adjustments to maintain optimal results.
• Implement CI/CD pipelines for model deployment and updates, ensuring reliable and reproducible workflows in collaboration with DevOps teams.
• Collaborate with stakeholders to understand and translate requirements into model design, presenting results in actionable formats.
• Conduct A/B testing, evaluate model accuracy, and iterate based on feedback to improve performance over time.
• Troubleshoot and resolve model performance, data quality, and system integration issues within the production environment.

Qualifications and Skills:

• Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• 11 to 18 years in Data Science and Analytics, focusing on hands-on roles.
• Proficiency in Python, R, SQL, and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
• Hands-on experience with Azure ML, Azure Data Factory (ADF), and cloud deployment of machine learning models.
• Familiarity with CI/CD tools and practices, such as Jenkins, Git, and containerization (Docker), to automate and streamline the model deployment process.
• Strong analytical and statistical skills with knowledge of data preprocessing, model selection, and evaluation techniques.
• Excellent communication skills to effectively convey insights and recommendations to both technical and non-technical stakeholder

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location-based flexibility
• Company-provided home office equipment 
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off) 
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Back-up childcare/elder care, childcare discounts, and subsidized virtual tutoring 
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high-impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest 

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Applicants for employment in Canada must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini.