Junior Data Scientist
Job Description & How to Apply Below
Responsibilities Communicates effectively with customers, product owners, and stakeholders to understand requirements and share deliverables.
Works with cross‑functional work streams to implement complex analytics solutions that meet business objectives.
Supports development and maintenance of production‑level analytics tools for both internal use and customer‑facing applications.
Assists in evaluation, validation, and continuous performance monitoring of supported applications, models, and analyses.
Champions a culture of quality, continuous learning, trust, and collaboration.
Basic Qualifications 2+ years’ experience working as part of an integrated data science development team.
Demonstrated experience in applied machine learning.
2+ years of experience with Python.
2+ years of experience with data querying.
Experience writing code in a collaborative environment (e.g., using Git).
Must be legally able to work in Canada.
Individual must not pose a risk for safeguarding of controlled goods.
Must be eligible to handle US export‑controlled data.
Preferred Qualifications Domain knowledge of the aviation & aerospace industry.
Experience in one or more of the following technologies:
Natural Language Processing, MLOps and CI/CD techniques and tools, Optimization, large‑scale data analysis technologies.
Experience with Databricks.
Experience with Neo4j.
Experience in production data and modeling pipeline development.
Experience presenting to non‑technical audiences.
Project management experience.
Expertise in Predictive Maintenance.
Location & Work Style Hybrid work model with some onsite work in Richmond, BC; flexibility may vary. The position is not sponsored for employment visa status.
Compensation Salary range: $69,000.00 – $CAD (based on experience and qualifications).
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