Drive data analytics as a Senior Data Scientist in a hybrid setting while developing predictive models. Collaborate with key teams to enhance data visibility and support strategic decision-making. In this influential role, you will manage predictive modeling across customer metrics and establish a robust A/B testing framework for the organization.

Work closely with GTM, Sales, Finance, and Product teams, converting vague business questions into well-defined analytical challenges. You'll improve metric definitions for consistency and present insightful data analyses, mentoring junior scientists along the way to raise the overall data competency within the team. Key Responsibilities:

- Own customer-focused predictive modeling tasks
- Facilitate A/B testing with high standards




- Collaborate on defining business analytical challenges
- Ensure core metrics are clearly defined
- Deliver compelling stories through data presentations Requirements:
- Practical experience with predictive models
- Advanced SQL and Python skills for data solutions
- Solid understanding of business metric significance
- Proven A/B testing and experimentation expertise
- Excellent communicator across technical and business domains Transform data into impactful insights that enhance business strategies and mentor upcoming talent in data science.

📌 Senior Data Scientist in Hybrid Environment (Toronto)
🏢 Relay
📍 Toronto