Data Scientist

Data Scientist WHAT'S IN IT FOR YOU Benefits: Compensation: $88,000 - $121,000 Annual Performance-Based Incentive Bonus 5% RRSP match Stock purchase plan Starting 3 weeks of vacation Benefits package (health and dental) + $600 health spending account Half-Day Fridays Continuous learning and career growth with global mobility opportunities. A chance to contribute to something bigger - advancing the future of healthcare through automation. Qualifications QUALIFICATIONS: Education • A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering) • A Master’s degree is considered beneficial. Experience • Strong experience with the deployment, configuration, and operationalization of Databricks environments, including workspace architecture, cluster management, CI/CD integration, security, governance, and enterprise-scale administration. • Experienced in building and managing modern data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, Structured Streaming, Workflows, medallion architectures (Bronze/Silver/Gold), and real-time/batch ingestion frameworks. • Deep understanding of Databricks ecosystem components including Unity Catalog, data lineage, RBAC, monitoring/observability, cost optimization, ML/AI enablement, model serving, and secure enterprise data collaboration through Clean Rooms. • Proven experience integrating Databricks with enterprise cloud and industrial data ecosystems, including Kafka, SQL databases, APIs, IoT/OT platforms, and cloud environments such as Azure, AWS, and GCP. • Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives. • Proficiency in programming languages like Python, R, or Java • Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy) • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) • Experience with databases (SQL, Influx) • Knowledge of data warehousing and ETL processes • Familiarity with tools like Hadoop, Spark, or Kafka • Experience with cloud services such as AWS, Google Cloud, or Azure • Understanding of software engineering principles and best practices • Experience with version control systems (e.g., Git) • Ability to design and implement efficient algorithms and solutions • Demonstrated experience in deploying machine learning models to production • Experience with data visualization tools and techniques • Strong analytical and communication skills • Ability to work collaboratively in a team environment • Ability to communicate effectively, both orally and in writing • A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision • In addition, the following is considered not necessary but beneficial: o Experience with Agile development practices o Understanding of automation mechanical, electrical and control systems o Understanding of machine operation, maintenance, service and troubleshooting o Understanding of Machine Vision systems and solutions o Understanding of PLCs and PLC communication o Exposure and understanding of business intelligence H&S HEALTH, SAFETY, AND ENVIRONMENTAL: • All employees have the responsibility to work in a safe manner and report any health, safety or environmental concern to their manager or supervisor in a timely manner. • Work in compliance with divisional health, safety and environmental procedures • Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods • Report any unsafe conditions or unsafe acts • Report defect in any equipment or protective device • Ensure that the required protective equipment is used for the assigned tasks • Attend all required health, safety and environmental training • Report any accidents/incidents to supervisor • Assist in investigating accidents/incidents • Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct Join our Innovation Center at ATS Corporation - a place to create differentiators with the future in mind. Our Innovation Center is focused on R&D; advancing existing technologies, filling gaps in existing automation products, technologies and processes to give ATS a competitive advantage