About this role
<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Data Scientist</b></H2> </div><div><p>WHAT'S IN IT FOR YOU </p> <p> </p> <p>Benefits:</p> <p>Compensation: $88,000 - $121,000<br>Annual Performance-Based Incentive Bonus <br>5% RRSP match <br>Stock purchase plan <br>Starting 3 weeks of vacation <br>Benefits package (health and dental) + $600 health spending account <br>Half-Day Fridays <br>Continuous learning and career growth with global mobility opportunities. <br>A chance to contribute to something bigger - advancing the future of healthcare through automation. </p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Qualifications</b></H2> </div><div><p>QUALIFICATIONS:</p> <p>Education<br>• A post-secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Machine Learning, Artificial intelligence, Engineering)<br>• A Master’s degree is considered beneficial.</p> <p>Experience<br>• 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.<br>• 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.<br>• 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. <br>• 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. <br>• Strong understanding of scalable data engineering, governance, multi-tenant architectures, and enterprise data platform strategies supporting analytics, AI, and operational intelligence initiatives.<br>• Proficiency in programming languages like Python, R, or Java<br>• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy)<br>• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)<br>• Experience with databases (SQL, Influx)<br>• Knowledge of data warehousing and ETL processes<br>• Familiarity with tools like Hadoop, Spark, or Kafka<br>• Experience with cloud services such as AWS, Google Cloud, or Azure<br>• Understanding of software engineering principles and best practices<br>• Experience with version control systems (e.g., Git)<br>• Ability to design and implement efficient algorithms and solutions<br>• Demonstrated experience in deploying machine learning models to production<br>• Experience with data visualization tools and techniques<br>• Strong analytical and communication skills<br>• Ability to work collaboratively in a team environment<br>• Ability to communicate effectively, both orally and in writing<br>• A self-starter with the ability to work as part of a team in a fast paced environment with minimal supervision<br>• In addition, the following is considered not necessary but beneficial:<br>o Experience with Agile development practices<br>o Understanding of automation mechanical, electrical and control systems<br>o Understanding of machine operation, maintenance, service and troubleshooting<br>o Understanding of Machine Vision systems and solutions<br>o Understanding of PLCs and PLC communication<br>o Exposure and understanding of business intelligence</p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px">H&S</H2> </div><div><p>HEALTH, SAFETY, AND ENVIRONMENTAL: </p> <p>• 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. <br>• Work in compliance with divisional health, safety and environmental procedures <br>• Refrain from removing or altering safety devices or guarding unless hazardous energies are controlled through lockout-tagout methods <br>• Report any unsafe conditions or unsafe acts • Report defect in any equipment or protective device <br>• Ensure that the required protective equipment is used for the assigned tasks <br>• Attend all required health, safety and environmental training <br>• Report any accidents/incidents to supervisor <br>• Assist in investigating accidents/incidents <br>• Refrain from engaging in any prank, contest, feat of strength, unnecessary running or rough and boisterous conduct</p></div></div></div><p>Join our <b>Innovation Center at ATS Corporation</b> - 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</p>