Data Scientist
$88k - $121k per yearATS Automation Tooling Systems Inc
Data Scientist
Compensation and Benefits
- $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
Education
- A 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.
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:
- Experience with Agile development practices
- Understanding of automation mechanical, electrical and control systems
- Understanding of machine operation, maintenance, service and troubleshooting
- Understanding of Machine Vision systems and solutions
- Understanding of PLCs and PLC communication
- Exposure and understanding of business intelligence
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.
#J-18808-LjbffrVacancy posted 8 days ago
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