Data ScientistCompensation and Benefits$88,000 - $121,000Annual Performance-Based Incentive Bonus5% RRSP matchStock purchase planStarting 3 weeks of vacationBenefits package (health and dental) + $600 health spending accountHalf-Day FridaysContinuous learning and career growth with global mobility opportunities.A chance to contribute to something bigger – advancing the future of healthcare through automation.QualificationsEducationA post‑secondary engineering degree, diploma or equivalent in a quantitative field (Computer Science, Information Systems, Mathematics, Statistics, Machine Learning, Artificial Intelligence, Engineering)A Master’s degree is considered beneficial.ExperienceStrong 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 workplace.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:Experience with Agile development practicesUnderstanding of automation mechanical, electrical and control systemsUnderstanding of machine operation, maintenance, service and troubleshootingUnderstanding of Machine Vision systems and solutionsUnderstanding of PLCs and PLC communicationExposure and understanding of business intelligenceHealth, Safety, and EnvironmentalAll 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 ourInnovation 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.#J-18808-Ljbffr

📌 Data Scientist - $88,000 - $121,000 A Year (Winnipeg)
🏢 ATS
📍 Winnipeg