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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.

Data Scientist

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