Data Scientist in Oakville

ARE YOU INTERESTED IN A WORKPLACE THAT HAS...

• Flexible Hybrid Work Environment
• Retirement Savings Matching Plan (RRSP)
• Personal Spending Account Up to $500 for physical, mental or financial well-being
• Summer Hours
• 17 Paid Days Off (in addition to 13 Personal Days)

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:

• Build Predictive Weather Models: Design, train, and deploy machine learning and spatio-temporal models to integrate weather feeds with client sales data to predict demand, optimize forecasts, and quantify operational risk.
• Derive Actionable Insights: Conduct end-to-end exploratory analysis on complex meteorological datasets to uncover high-value patterns and translate probabilistic trends into strategic recommendations.
• Drive B2B & Commercial Growth: Partner with Sales, Marketing, and Customer Support to build analytics solutions for B2B initiatives.
• Optimize ML Performance: Leverage distributed frameworks (e.g., PySpark, Dask, Ray) and modern ML stacks (Scikit-learn, PyTorch/TensorFlow, LLMs) to improve model speed, scale inference pipelines, and lower compute costs.
• Own the Model Lifecycle: Take responsibility for the full end-to-end lifecycle, including testing, deployment, and ongoing monitoring to ensure production-grade stability and reliability.
• Technical documentation: Actively document model architectures, data lineage, and decision logic to ensure reproducibility, facilitate peer review, and maintain long-term institutional knowledge.
• Cross-Functional Collaboration: Partner closely with Data Engineers, Product Managers, and Revenue leaders to embed predictive algorithms into live APIs and deliver scalable data products that solve real-world enterprise problems.

WE ARE HOPING YOU HAVE:

• Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master’s or PhD is preferred but not required.
• 3+ years of data science experience specializing in B2B environments, with expertise in spatio-temporal modeling, time-series forecasting, and weather data intelligence.
• High proficiency in Google BigQuery (SQL, window functions, query optimization, and large-scale data manipulation).
• Advanced expertise in Python for statistical modeling, data science, and graphical visualization (e.g., Matplotlib, Seaborn, or Plotly), with hands-on experience using core ML libraries including NumPy, SciPy, Scikit-learn, and TensorFlow or PyTorch.
• Experience working with distributed computing frameworks (e.g., Apache Spark) to process large-scale datasets.
• Strong communication skills, including the ability to explain complex ideas to an audience with a non-technical background.

NICE TO HAVE:

• Proven experience developing and deploying Deep Learning models in industry or research environments.
• Familiarity with deploying Large Language Models (LLMs) or retrieval-augmented generation (RAG) pipelines for automated reporting, intelligent customer support routing, or unstructured data processing.
• Experience scaling models across large datasets using distributed processing frameworks.

DON’T MEET ALL THE REQUIREMENTS? DON’T WORRY… Not all applicants will have skills that match a job description exactly. Pelmorex values and welcomes diverse experiences. While having “desired” qualifications makes for a strong candidate, we encourage applicants with alternative experiences to also apply.

INTERESTED? IT GETS BETTER…

• Course Reimbursement Program
• Open and transparent communication, including All Hands Meetings with our CEO
• Pelmorex Learning Academy
• Your mental health is important to us! We partner with our Benefits provider for virtual counseling sessions
• Frequent employee pulse surveys
• Free online doctor visits with Maple Online Healthcare

OUR PROMISE TO YOU... We’re highly focused on doing the right thing. We’ll discuss issues and timelines professionally, so you have the time you need to do the best work you can. You will see the result of your work pushed out to real users quickly. We’re a team that enjoys learning new technologies and we’re open to trying new things.

Weather inspires, protects, and transforms. For 35+ years, Pelmorex has led the way with trusted forecasts and alerts. With innovation at our core, we provide precision, speed, and unmatched reliability—safeguarding lives, powering decisions, and driving business success. We’re Pelmorex. Imagine it and we’ll deliver it.

Fair and Authentic Interview Experience: We welcome candidates using AI tools to prepare for interviews or to learn more about Pelmorex. During the interviews themselves, we expect responses to come from your own experience and thinking.