ARE YOU INTERESTED IN A WORKPLACE THAT HAS...
Flexible Hybrid Work Environment
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Retirement Savings Matching Plan (RRSP). Plan for your future with us!
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Personal Spending Account
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Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)
Summer Hours
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Start your weekend earlier during the summer months!
17 Paid Days Off (in addition to 13 Personal Days)
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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!
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HAVE WE GOT YOUR ATTENTION? WANT TO LEARN MORE?
Read about us
here
! (spoiler alert… we are the home of The Weather Network )📍
Proud to share that we ranked #5 Most Admired Company in Canada in Leger’s 2026 Reputation Study, among 334 organizations
WHY WE NEED YOU? GLAD YOU ASKED...
We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2B initiatives, with occasional contributions to our B2C sector and Adtech initiatives. You will be responsible for developing sophisticated models, conducting deep-dive analyses, and extracting actionable insights from complex datasets to optimize user experience and advertising performance.
This is a unique opportunity to work at the intersection of B2B weather intelligence and commercial data products, influencing the direction of our predictive algorithms under the mentorship of the Team Lead of Data Science working closely with leadership to align data strategies with business objectives. We offer a collaborative environment where innovation is encouraged and data-driven insights are at the heart of everything we do.
Please note, we are only considering candidates who are eligible to work in Canada and can work in a Hybrid model at our Oakville location
WHAT DOES THE DAY-TO-DAY LOOK LIKE
WE ARE HOPING YOU HAVE
NICE TO HAVE
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Proven experience developing and deploying Deep Learning models in industry or research environments.
