Data Scientist

Hybrid Full TimeOntario, CanadaPelmorex

Role Overview

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.

What You Will Do

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.

Why It Might Be a Fit

We offer a collaborative environment where innovation is encouraged and data-driven insights are at the heart of everything we do.

Requirements

  • 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

Benefits

  • Retirement Savings Matching Plan (RRSP)
  • Personal Spending Account
  • Up to $500 to spend on anything related to physical, mental or financial well-being
  • 17 Paid Days Off
  • 13 Personal Days
  • Course Reimbursement Program
  • Open and transparent communication
  • Pelmorex Learning Academy
  • Virtual counseling sessions
  • Free online doctor visits
  • Anonymous reporting platform

To apply for this job please visit jobs.lever.co.

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