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 usefulExperience 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 chance employer, and all qualified applicants will receive consideration for employment.DISCLAIMERAI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.#J-18808-Ljbffr

📌 Advanced Analytics Data Scientist At Astrazeneca (Winnipeg)
🏢 407 ETR
📍 Winnipeg