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QA Engineer, Data Science
Nimbus Data Systems · Toronto · Indexed today
About the role
Validate the effectiveness of machine learning and analytics solutions.
QA Engineer, Data ScienceLocation: 16 YORK ST:TORONTOTime Type: Full timeJob DescriptionJob DescriptionWhat is the opportunity?As the Senior/Lead QA Engineer, Data Science, you will apply quality assurance expertise, statistics, and machine learning knowledge to validate the robustness, reliability, and business effectiveness of advanced analytics, machine learning, and Agentic GenAI solutions developed by the team.You will partner closely with Data Scientists, Engineers, and Business SMEs to un
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Responsibilities
- ▸Apply quality assurance expertise
- ▸Validate robustness, reliability, and business effectiveness of analytics/ML/GenAI solutions
- ▸Partner with Data Scientists, Engineers, and Business SMEs
Must-have skills
- ▸qa engineer
- ▸data science
- ▸machine learning
- ▸analytics
- ▸genai
FAQ
Is the QA Engineer, Data Science role at Nimbus Data Systems remote?+
This QA Engineer, Data Science position is listed as onsite (Toronto).
What is the salary for the QA Engineer, Data Science role at Nimbus Data Systems?+
The listing states Estimated 102k-189k USD.
What seniority level is this QA Engineer, Data Science role?+
This is a senior level position.
What skills does the QA Engineer, Data Science role require?+
Key requirements include qa engineer, data science, machine learning, analytics, genai.
How do I apply for the QA Engineer, Data Science role at Nimbus Data Systems?+
Use the "Apply on echojobs" button to open the original posting on echojobs, where you can submit your application directly to Nimbus Data Systems.