Data Scientist

Data Scientist

WHATS IN IT FOR YOU

Benefits:

Compensation: $88000 - $121000
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 Masters 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