- 8+ years of experienced as Data Scientist to support the AI CoEs Machine Learning and Data Science initiatives.
- Should have strong applied machine learning| statistical modeling| analytics| and analytical problem-solving experience| with the ability to translate business problems into practical data science solutions.
- Expert knowledge of SQL and Python| along with hands-on experience in predictive modeling| forecasting| classification| regression| experimentation| A/B testing| feature engineering| model evaluation| and insights generation.
- Experience working in cloud-based data science environments| including Azure| Azure ML| Databricks| MLflow| and related cloud technologies.
- This is a highly analytical and hands-on role focused on delivering end-to-end data science solutions| including data exploration| data preparation| feature engineering| model development| validation| interpretation| and communication of insights. Experience with visualization tools such as Tableau| Power BI| or similar platforms is practical
- Experience with use cases such as churn prediction| member personalization| recommendation systems| marketing optimization| anomaly detection| and experimentation frameworks would be valuable.
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
📌 Data Scientist - Pacer Group (Toronto)
🏢 Pacer Group
📍 Toronto
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.