Apply on Kit Job: kitjob.ca/job/2fs0t1

Shape retail analytics as a Data Scientist, leveraging machine learning techniques to provide actionable insights. Utilize your strong data handling skills in Python and SQL for impactful contributions.
In this role, you'll support the development of machine learning models tailored for customer personalization and propensity analysis. With over 2 years of relevant experience, you'll delve into and analyze large datasets while working with engineering teams to ensure smooth integration of models into production. This position also encourages curiosity and problem-solving throughout your analytics journey.
Key Responsibilities:
• Conduct data analysis to derive business insights
• Develop machine learning models for various use cases
• Validate prototypes and maintain ML workflows




• Collaborate on integrating models into production pipelines
• Create detailed dashboards and reports for partners
Requirements:
• 2+ years' experience in data science or ML
• Strong skills in Python and SQL
• Familiarity with machine learning concepts and techniques
• Understanding of experimental analysis like A/B testing
• Experience with cloud or distributed platforms is advantageous
Bring your analytical expertise to drive strategic decision-making through creative machine learning solutions.
#J-18808-Ljbffr

Apply on Kit Job: kitjob.ca/job/2fs0t1

📌 Data Scientist Targeting Machine Learning and Analytics Solutions (Toronto)
🏢 Canadian Tire Financial Services
📍 Toronto