Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist_ML in Canada.

This is an exciting opportunity for an experienced Machine Learning professional to build innovative AI-driven solutions within the fast-evolving e-commerce and retail analytics space. In this role, you will develop scalable machine learning models focused on pricing optimization, demand forecasting, and promotional strategy, helping businesses make smarter, real-time decisions. You will work with large-scale datasets, advanced analytics frameworks, and cloud-based ML platforms to create impactful, production-ready solutions. The position offers a highly collaborative environment where you’ll partner with engineering, product, and business teams to solve complex challenges through data science and AI. Ideal candidates are hands-on problem solvers with strong technical depth, business acumen, and a passion for applying machine learning to drive measurable commercial outcomes. This role also provides the opportunity to mentor peers, influence strategy, and contribute to cutting-edge AI innovation at scale.

Accountabilities:

• Design, develop, and deploy scalable machine learning solutions focused on pricing optimization, demand forecasting, promotion planning, and revenue forecasting.
• Build and enhance statistical and ML models for demand prediction, price elasticity analysis, inventory optimization, and retail performance forecasting.
• Develop and maintain robust ML pipelines, production-ready APIs, and model monitoring systems within modern cloud and MLOps environments.
• Analyze large-scale structured and unstructured datasets to uncover trends, customer behavior insights, and opportunities for pricing and revenue optimization.
• Evaluate and implement advanced forecasting techniques, including transformer-based time series models for large-scale retail demand planning.
• Drive experimentation, model evaluation, validation, and continuous optimization of machine learning workflows and predictive systems.
• Collaborate cross-functionally with Product, Engineering, Data Engineering, and business stakeholders to translate business challenges into scalable AI solutions.
• Mentor junior data scientists, provide technical leadership, and communicate analytical insights effectively to both technical and non-technical audiences.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Minimum of 5 years of hands-on experience in Data Science and Machine Learning roles.
• Strong expertise in mathematics, probability, statistics, regression analysis, and traditional machine learning algorithms.
• Advanced programming skills in Python, including experience with Pandas, NumPy, Scikit-learn, TensorFlow, and object-oriented programming concepts.
• Experience working with PySpark and large-scale distributed data processing systems.
• Strong SQL skills and experience with relational databases, data warehouses, and large-scale data environments.
• Hands-on experience building APIs and ML services using frameworks such as Flask or similar technologies.
• Proven experience in Retail, Consumer Packaged Goods (CPG), or E-Commerce domains, particularly in demand forecasting, pricing strategy, and promotion optimization.
• Familiarity with cloud-based ML and MLOps platforms such as Databricks, Vertex AI, Amazon SageMaker, Azure Machine Learning, or similar solutions.
• Experience building and maintaining CI/CD pipelines for ML workflows and production deployment.
• Strong communication, problem-solving, collaboration, and mentoring skills in cross-functional environments.

Benefits:

• Competitive salary package aligned with experience and expertise.
• Opportunity to work on cutting-edge AI, machine learning, and advanced analytics solutions.
• Flexible and collaborative work environment with exposure to innovative technologies and large-scale projects.
• Career growth opportunities within a fast-paced and rapidly evolving industry.
• Exposure to modern cloud platforms, MLOps tools, and enterprise-scale AI systems.
• Collaborative culture focused on innovation, learning, and continuous improvement.
• Opportunities to mentor and lead technical initiatives across multidisciplinary teams.
• Work on impactful solutions that directly influence pricing, forecasting, and business performance outcomes.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best! Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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