Expert Data Scientist for Machine Learning and Experimentation
Canadian Tire Financial Services
About the role
Join as a Data Scientist focusing on machine learning innovation. Apply your expertise in Python and SQL to drive customer insights and enhance engagement strategies in a leading retail environment. This position requires 2+ years of experience in data science, where you will explore and clean extensive datasets to identify key trends. Your role will involve building and validating machine learning models, integrating them into production, and optimizing existing workflows to support a customer-centric approach. Collaborate across teams to communicate analytical insights effectively. Key Responsibilities: • Build machine learning models for offer personalization • Clean and analyze large datasets for insights • Develop and validate prototypes for business applications • Integrate models with engineering teams into pipelines • Produce insightful reports and dashboards Requirements: • Minimum 2 years in data science or machine learning • Proficient in Python and SQL • Solid understanding of ML techniques like feature engineering • Exposure to recommendation systems is a plus • Familiarity with cloud solutions like GCP or Azure Utilize your analytical talents to enhance customer experiences through sophisticated machine learning applications.
Requirements
- Minimum 2 years in data science or machine learning
- Proficient in Python and SQL
- Solid understanding of ML techniques like feature engineering
- Exposure to recommendation systems is a plus
- Familiarity with cloud solutions like GCP or Azure
Responsibilities
- Build machine learning models for offer personalization
- Clean and analyze large datasets for insights
- Develop and validate prototypes for business applications
- Integrate models with engineering teams into pipelines
- Produce insightful reports and dashboards
Skills
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