Data Science Manager

Title: Data Science Manager

Location: Canada

Compensation: $160,00 – $240,000 CAN (Based on Experience)

About the Role

This is a hands-on data science leadership role where you’ll build new functions from the ground up and own both technical delivery and early organizational design. You’ll focus on customer-facing machine learning products, turning ambiguous business problems into scalable, production-ready ML solutions. The role is based in Canada and collaborates with a distributed team across the Americas. You’ll balance time between coding and architecture, stakeholder management, people leadership, and long-term strategy as the team and scope grow.

Responsibilities

• Design, implement, and deploy production ML models (e.g., recommendations, predictive systems).
• Hire, mentor, and manage a growing team of data scientists across time zones.
• Own end-to-end ML delivery: problem framing, modeling, deployment, and monitoring.
• Partner with engineering, product, and leadership to integrate models into customer experiences.
• Define data science ways of working, processes, and the long-term roadmap.

Qualifications

• Hands-on data science leader with experience in small to mid-sized, product-focused companies.

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• Proven at building or scaling teams while still contributing directly to technical work.
• Comfortable operating in ambiguous, low-structure environments and creating clarity.
• Strong communicator with credibility across technical and non-technical stakeholders.
• Experienced working with remote, distributed teams, ideally including LATAM.

Required Skills

• Prior experience leading data scientists, including hiring and people management.
• Track record of shipping customer-facing ML products in production (e.g., recommendations, churn, segmentation).

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• Strong skills in Python (NumPy, Pandas, scikit-learn) and SQL.
• Experience with cloud ML platforms and big data tools (e.g., AWS/Azure/GCP, Databricks, Spark/Hadoop).
• Exposure to GenAI/LLM concepts (e.g., GPT/BERT, embeddings, vector search) and interest in real-world applications.

Why Join

• Own and shape a new data science function from day one.
• Build impactful, customer-facing ML products with clear business outcomes.
• Work closely with senior technical and product leaders on strategic initiatives.
• Grow into a broader leadership role as the team and scope expand.