Senior Manager, Data Science & Machine Learning

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...
Flexible Work Environment

Retirement Savings Matching Plan (RRSP). Plan for your future with us!

Personal Spending Account

Up to $500 to spend on anything related to physical, mental or financial well‑being (in addition to your Health Care Spending Account)

17 Paid Days Off (in addition to 13 Personal Days)

This includes an extra day off during the month of your birthday - our gift to you!

An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️

Weather is inclusive, we will be too. Our IDEAS team is committed to making this happen!

HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?

Read about us here! (spoiler alert… we are the home of The Weather Network )

WHY WE NEED YOU? GLAD YOU ASKED...
The Mandate

Applied impact over theoretical perfection. Most Data Science roles today are narrow, often focused on optimizing a single "buy" button or recommendation algorithm. At Pelmorex, your mandate is more interesting: helping model the intersection of the physical world and human behavior to solve meaningful, real‑world problems.

At its core, your mission is to fulfill the Pelmorex promise: enabling better decisions through weather intelligence. You transform raw atmospheric and behavioral data into actionable foresight so our users and partners don’t just see the weather, but understand how to respond to it.

At Pelmorex, your mandate is to bridge the gap between complex data theory and scalable product reality.

As the Senior Manager, Data Science & Machine Learning, you are the technical leader responsible for the end‑to‑end delivery of predictive models that power our advertising, personalization, and B2B weather solutions. While you contribute to the roadmap, your primary mission is operational excellence. You translate business requirements into technical specs, lead a high‑performing squad of Data Scientists, and ensure that our AI/ML models are not just accurate, but production‑ready, scalable and cost‑effective.

You act as the key strategic technical partner for our Product, Engineering and revenue‑facing teams and you are accountable for technical direction within Data Science, team effectiveness, and the reliable deployment of high‑impact models into production.

Why Your Work Matters

At Pelmorex, Data Science is not a back‑office function; it is a core product differentiator. Your team builds the predictive layer that powers our advanced advertising technology, B2C personalization across our apps, and B2B weather‑powered decision‑support tools.

You champion responsible, transparent, and explainable use of data and machine learning. By deriving insights from location data, user movement, audience segmentation and personas, and forecast weather patterns, you enable the business to deliver highly targeted, high‑value solutions to millions of users and global commercial clients.

PLEASE NOTE we are only considering candidates who are eligible to work in Canada and are currently located in the Greater Toronto Area.

THE ROLE AT A GLANCE

Lead and develop a team of ~7 Data Scientists and focused on applied machine learning.

Set technical direction and standards for applied ML and experimentation

Ensure models are production‑ready, scalable, and cost‑conscious in partnership with Engineering

Act as a strategic technical partner to Product and Engineering

Ensure reliability and performance of live models in a high‑scale environment

WHAT SUCCESS LOOKS LIKE (18‑24 Months)

Team Health & Growth :
The team is highly engaged with low regretted turnover, clearer technical standards, and measurable growth in both applied ML capability and business context through your coaching.

Operational & Technical Impact :
Data Science consistently delivers reliable, well‑validated models that are productionized and actively used across advertising, personalization, and B2B weather‑driven solutions.

Proactive Partnership :
You are recognized as a strategic technical partner to Product and revenue‑facing teams, someone who goes beyond ticket‑based work to surface opportunities, prototype approaches, and contribute informed input into roadmap discussions.

Project-Driven Impact:  You ensure that key ML initiatives (e.g., outage prediction, demand forecasting) are successfully moved into production and meet the specific business KPIs defined by the CTO and Product leaders

WHAT IS THE DAY TO DAY LIKE

Technical Leadership & Delivery (40%)

Set and evolve modeling and experimentation standards

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