Data Scientist, Algorithms — Hybrid, Enterprise Growth

Lyft; Toronto; Hybrid; CAD 108,000 - 135,000; Full time

Job summary

A leading transportation solutions company in Toronto is seeking a Data Scientist to lead initiatives across their product suite. This role involves shaping the vision, defining the roadmap, and driving execution for data science projects. Ideal candidates should possess a Master's degree or PhD in a quantitative field and have at least 3 years of experience in ML model deployment. The position emphasizes collaboration with cross-functional teams and encompasses responsibilities in algorithm development, data analysis, and experimentation frameworks.

Benefits

Extended health and dental coverage

Mental health benefits

Child care and pet benefits

Flexible paid time off policy

18 weeks of paid time off for new parents

Subsidized commuter benefits

Qualifications

• 3 years of applied experience building, evaluating, and deploying ML models or algorithms in production systems.
• Strong proficiency in Python and applied ML frameworks.
• Demonstrated ability to write clean, reliable, production-ready code.

Responsibilities

• Design, develop, and deploy production-grade algorithms and machine learning models.
• Translate ambiguous business problems into measurable, technical solutions.
• Run experiments and support causal inference frameworks.

Skills

Python

Machine Learning frameworks (PyTorch, TensorFlow)

Statistics

Strong communication skills

Data analysis

Education

Master’s degree or PhD in a quantitative field

Tools

Spark

Snowflake

Databricks

Job description

A leading transportation solutions company in Toronto is seeking a Data Scientist to lead initiatives across their product suite. This role involves shaping the vision, defining the roadmap, and driving execution for data science projects. Ideal candidates should possess a Master's degree or PhD in a quantitative field and have at least 3 years of experience in ML model deployment. The position emphasizes collaboration with cross-functional teams and encompasses responsibilities in algorithm development, data analysis, and experimentation frameworks.