Data Scientist

Job Overview

Join ATS Corporation's Innovation Center in Cambridge, Ontario, and contribute to advancing healthcare through automation as a Data Scientist. This role focuses on developing and managing advanced data environments using Databricks and related technologies, driving innovation in enterprise data platforms and analytics.

Benefits

• Competitive salary ranging from $88000 to $121000 annually
• Annual performance-related bonus
• 5% contribution to RRSP matching
• Participation in a stock purchase program
• Generous starting vacation allowance of three weeks
• Comprehensive health and dental benefits plus a $600 health spending account
• Half-day Fridays for improved work-life balance
• Support for continuous learning, career progression, and global mobility opportunities

Qualifications

• A post-secondary qualification in engineering, computer science, information systems, mathematics, statistics, machine learning, artificial intelligence, or a related quantitative discipline; Master’s degree is an advantage
• Extensive experience configuring and operating Databricks environments, including workspace design, cluster administration, CI/CD pipelines, security, governance, and enterprise-level management
• Proficiency in creating and maintaining data pipelines and lakehouse architectures using Delta Lake, Delta Live Tables, streaming, workflows, medallion architectures, and handling real-time and batch data ingestion
• In-depth knowledge of the Databricks ecosystem, including Unity Catalog, data lineage, role-based access control, monitoring, cost optimization, ML/AI enabling, model deployment, and secure data collaboration (Clean Rooms)
• Experience integrating Databricks with cloud platforms (Azure, AWS, GCP), Kafka, SQL databases, APIs, and IoT/OT systems
• Strong grasp of scalable data engineering, governance, multi-tenant architecture, and enterprise platform strategies supporting analytics and AI
• Competency in Python, R, or Java programming languages
• Experience with data analysis libraries like Pandas and NumPy
• Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
• Knowledge of SQL and Influx databases, data warehousing, ETL processes, and tools such as Hadoop, Spark, and Kafka
• Working knowledge of cloud services from AWS, Google Cloud, or Azure
• Understanding of software engineering best practices and version control systems like Git
• Proven ability to design efficient algorithms, deploy machine learning models to production, and utilize data visualization techniques
• Excellent analytical, verbal, and written communication skills
• Self-motivated team player capable of thriving in a fast-paced environment with minimal supervision
• Desirable but not essential: Experience with Agile methodologies, knowledge of automation mechanical/electrical/control systems, machine operation and maintenance, machine vision systems, PLCs and communications, and insights into business intelligence

Health, Safety, and Environmental Responsibilities

• Adhere to safe work practices and promptly report any health, safety, or environmental concerns to supervisors
• Comply fully with divisional health and safety protocols
• Ensure safety devices remain intact unless hazardous energies are controlled via lockout-tagout
• Report unsafe conditions, equipment defects, or unsafe acts immediately
• Use all required protective equipment for assigned tasks
• Attend all relevant training sessions on health, safety, and environment
• Report and assist in investigations of accidents or incidents
• Maintain professional conduct, avoiding activities like pranks or unnecessary running that risk safety

Additional Information

This position offers the opportunity to be part of a cutting-edge R&D environment focused on elevating ATS's automation technologies and processes to secure a market advantage.