JOBS
Toronto, ON
|
Hybrid
|
#30294

Data Scientist

Thank you for applying
Job Type
Contract
Industry
-
Language
English
Salary
65 - 75 per Hour
Date Posted
September 29, 2026
Specialization
-
Vacancies
Existing Vacancy

Job Description

Location: Toronto, ON, Hybrid (3 days on-site)
Language: English, advanced written and verbal communication required
Duration: 5-month contract

About the Opportunity
Are you passionate about applying artificial intelligence to solve real-world challenges? We are seeking a Data Scientist to join a global AI and Data Science team within a leading technology organization in the automotive marketplace sector. In this role, you will help design and deliver innovative machine learning and Generative AI solutions that enhance digital experiences and create measurable business impact.

Working alongside product managers, engineers, and business stakeholders, you will contribute to the development of scalable AI products used by millions of customers. This is an exciting opportunity to work on cutting-edge technologies while collaborating with a highly skilled, collaborative team that values innovation, curiosity, and continuous learning.

What’s In It for You
• Work on innovative AI and machine learning initiatives with global reach
• Collaborate with experienced data scientists, engineers, and cross-functional teams
• Gain hands-on experience building production-ready AI solutions using modern cloud technologies
• Contribute to meaningful projects in a collaborative, fast-paced environment
• Expand your expertise in Generative AI, Large Language Models, and MLOps practices

Your Responsibilities
• You'll design, build, and deploy predictive and Generative AI models that support personalization, pricing, search, and optimization initiatives
• You'll partner with product, engineering, and business teams to translate business objectives into scalable machine learning solutions
• You'll analyze large datasets to uncover insights and communicate findings to both technical and non-technical stakeholders
• You'll develop and support machine learning infrastructure using AWS and cloud-native technologies
• You'll monitor model performance, recommend improvements, and participate in code reviews and technical discussions
• You'll explore new Generative AI use cases and contribute to the adoption of emerging AI technologies across the organization

Skills and Qualifications
• 3 to 5 years of experience in Data Science, Machine Learning, or Applied AI, with experience deploying models into production
• Advanced degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative discipline
• Strong programming skills using Python and SQL, with experience using TensorFlow, PyTorch, or scikit-learn
• Experience working with AWS, Docker, and MLOps concepts including model deployment, monitoring, and versioning
• Experience developing APIs using Flask or FastAPI and familiarity with orchestration tools such as Airflow or Jenkins
• Hands-on experience with Generative AI technologies including Large Language Models, LangChain, Hugging Face, OpenAI APIs, and vector databases
• Strong communication skills and experience working within Agile development environments

Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.



We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals.All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.


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