Data Science Manager

CAD $200,000 – $240,000 BASE + BONUS + BENEFITS

The Opportunity
We’re partnering with a growing SaaS company at a pivotal moment in its AI evolution.

They’ve leveraged traditional machine learning in the past — but are now formalizing a company-wide AI strategy, with recommendation systems and customer-facing ML at the center of the roadmap.

This is about building and scaling production-grade ML systems that directly impact personalization, engagement, and revenue. You won’t inherit a mature data science organization,

you’ll build it.

What You’ll Be Working On

Build and scale customer-facing recommendation systems in production

Design, develop, and deploy ML models across personalization, segmentation, churn prediction, and predictive analytics

Architect scalable ML systems across cloud platforms (AWS/GCP/Azure)

Partner cross-functionally with product, engineering, and leadership to translate business problems into end-to-end ML solutions

Lead and grow a small team of data scientists (starting with 1 senior DS, hiring 2 more)

Define data science operating models, standards, and best practices

Support the evolution from traditional ML to modern GenAI applications (LLMs, embeddings, RAG, etc.)

Stay hands-on (~40%) while shaping long-term AI strategy

What We’re Looking For

8+ years of experience in machine learning / data science

Experience building and scaling recommendation systems in production

Proven track record deploying ML models that serve real users

Experience leading and mentoring small data science teams

Strong Python and SQL skills

Cloud ML platform experience (AWS, GCP, Azure, Databricks)

Deep understanding of supervised/unsupervised learning, experimentation, and model evaluation

Comfort operating in ambiguity and building from scratch

Strong communication skills across technical and non-technical audiences

SQL

Databricks (preferred)

Big data frameworks (Spark, Hadoop)

LLMs, embeddings, and vector search

Modern MLOps and production deployment patterns

Why This Role

You’ll build and scale an AI function from the ground up — not just contribute to one.

This is a true player‑coach opportunity where you:

Own meaningful ML systems that shape customer experience

Define how data science operates across the company

Hire and mentor a high‑impact team

Influence the AI roadmap at a strategic level

Ship production systems — not prototypes

If you’re looking for a role where you can combine deep technical ownership with team leadership and long-term AI strategy, this is that opportunity.

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