Senior Manager - AI & Data Science
Brampton, ONLoblaw
4+ ansCandidates need 4 to 5+ years of progressive experience in data science, AI or advanced analytics, preferably in healthcare or another regulated industry. They need strong Python skills, experience with healthcare data, a proven ability to lead complex initiatives and mentor others, and a bachelor's or master's degree in a quantitative field or equivalent experience.
Python
Senior Business Data Analyst
Brampton, ONLoblaw
3+ ansLoblaw candidates need at least 3 years of related experience and a university or post-secondary degree in a relevant field. Advanced SQL skills, working knowledge of Google BigQuery and Python, and strong communication skills are required.
SQL, Google BigQuery, Python, VBA, Teradata, MS SQL Server
Senior Analyst – Automation & AI (Workday)
Brampton, ONLoblaw
3+ ans3 ans et plus d'expérience en Workday ou automatisation; Expérience pratique avec Workato, Workday Extend ou Power Automate; Compréhension de l'IA générative et agentique
Workday, Workato, Workday Extend, Power Automate, Power Platform, ServiceNow
Merchant, Canned (Hard Discount)
Brampton, ONLoblaw
2+ ansÉtudes postsecondaires ou expérience équivalente; Au moins deux ans en merchandising, achat ou vente au détail; Solides compétences analytiques et financières
Excel, PowerPoint, Parrot, Merch OS
Manager, Data Science & Merchandising Analytics
Brampton, ONLoblaw
3+ ansCandidates need 3+ years of quantitative analysis with proven business impact, a bachelor's or master's in an analytical field, and experience leading or mentoring people. Strong SQL, Python, cloud (GCP) and BI tool (Power BI or MicroStrategy) skills are required.
SQL, Python, GCP, Power BI, MicroStrategy
Data Science II
Brampton, ONLoblaw
3+ ans3 ans d'expérience en science des données ou analytique avancée; Baccalauréat ou maîtrise en domaine quantitatif; Maîtrise de Python et SQL
Python, SQL, BigQuery, Vertex AI, Google Cloud Platform, Looker
Data Engineer II
Brampton, ONLoblaw
3+ ansCandidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.
GCP, BigQuery, Google Cloud Storage, GKE, Docker, Helm