Data Scientist, Product Data Science - (Remote - Canada)

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Requirements:

• Strong proficiency in Python and SQL, with hands-on experience using libraries like pandas, NumPy, and scikit-learn.
• Deep understanding of statistical inference, including both Bayesian and frequentist methods.
• Knowledge of core machine learning techniques such as regression and decision trees.
• Experience working with cloud data warehouses and applying software engineering best practices to data workflows.

Responsibilities:

• Partner with cross-functional teams to support growth and product development initiatives through data.
• Design, analyze, and interpret A/B tests to evaluate new features and business strategies.
• Build and deploy machine learning models to improve product functionality and personalization.
• Create reliable data models and pipelines that serve as a foundation for analytics and reporting.
• Ensure robust documentation, testing, and version control of your code and models.
• Translate complex data problems into actionable insights for stakeholders across the organization.
• Promote a data-driven culture by sharing best practices and mentoring team members.