FAQs
Is this position fully remote?
Yes, this role is primarily remote, allowing candidates to work from their home office while residing in Canada.
What is the time zone for this position?
The position is expected to operate primarily in the PST (Pacific Standard Time) timezone.
What benefits are included in this role?
The position includes a competitive base salary, paid vacation, and extended health and dental benefits.
How many years of experience are required for this role?
Candidates should have five or more years of experience working with data science and machine learning systems.
Is experience with geographical or geological data considered an asset?
Yes, experience analyzing large data sets specifically for geographical or geological data would be considered an asset.
What type of infrastructure experience is preferred for this role?
Familiarity with various data processing tools, particularly cloud-based infrastructure, is preferred for this position.
Will there be opportunities for collaboration in this role?
Yes, the role encourages collaboration with other developers and sharing knowledge related to data science and machine learning.
Who can I contact for more information about the job?
For additional information about the job, you can contact Nathan Wawruck, a recruitment consultant based in Vancouver, BC.
How do I apply for this position?
To apply for this role, please submit your application online and reach out to Nathan Wawruck for an initial discussion.
Does Robert Half provide training for job seekers?
Yes, Robert Half offers free online training to help job seekers stay on top of opportunities.