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

The role focuses on the deployment, configuration, and operationalization of Databricks environments and modern data pipelines. It involves building lakehouse architectures to support analytics, AI, and operational intelligence within the healthcare automation sector.

Requires a post-secondary degree in a quantitative field such as Computer Science or Engineering, with a Master's degree preferred. Candidates must have deep expertise in the Databricks ecosystem, cloud platforms, and machine learning frameworks.

• Annual Performance-Based Incentive Bonus • 5% RRSP Match • Stock Purchase Plan • Starting 3 Weeks Of Vacation • Health And Dental Benefits Package • 600 Dollar Health Spending Account • Half-Day Fridays • Continuous Learning And Career Growth • Global Mobility Opportunities

• Microsoft AzurePreferred
• Data visualizationPreferred
• SQLPreferred
• CI/CDPreferred
• Machine learningPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Databricks
• Python
• Delta Lake
• Machine Learning
• SQL
• Azure
• AWS
• GCP
• PyTorch
• TensorFlow
• Scikit-learn
• Kafka
• CI/CD
• Unity Catalog
• ETL
• Data Visualization

• Data & Analytics
• Technology
• Engineering
• Healthcare
• Software

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week