Company Description Job Description

Collaborate with academic institutions, researchers, and external partners to ensure seamless project execution.
Lead data collection events, including equipment setup, staff coordination, and scheduling.
Lead review meetings and communications between internal and external stakeholders.
Track project milestones, resources, risks, and dependencies, ensuring all timelines are met and expectations are managed.
Prepare funding proposals, executive updates, and reports to stakeholders.
Conduct data analysis and processing, working with tracking data sets to extract insights
Monitor daily ETLs and data pipelines, ensuring that data flows smoothly from collection to processing and that data quality is maintained.
Review and test pull requests (PRs) for code quality and ensure adherence to best practices.

Qualifications

Strong attention to detail: Ability to focus on precise coordination and scheduling for data collections and reviewing data and code thoroughly to ensure accuracy and completeness.
Proficiency in Python programming language for data analysis tasks.
Ability to switch between multiple priorities effectively and manage tasks with competing deadlines.
Valid Ontario driver's license and willingness to travel for academic or partnership-related activities.
Strong communication skills, both written and verbal, to facilitate effective collaboration with partners and stakeholders.
Highly organized, with the ability to handle multiple projects and tasks simultaneously.
A technical degree in a relevant field (e.g., Computer Science, Engineering, Physics, or a related discipline) or equivalent practical experience.

Additional Information

MLSE

MLSE

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