Do you have experience with Azure data tools - azure, databricks , MLflow and python? If so, this would be a great opportunity for you!.
Our client is looking for a "Senior Data Analytical Specialist/Scientist" for a 6 month contract in Toronto.
This is a hybrid role 3 Days onsite / 2 days remote.
Advantages
...
• Earn a competitive rate within the industry.
• Hybrid: 3 Days onsite / 2 days remote
From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home
From January 5, 2026, the candidate is required to work onsite 5 days a week fully
• Potential for extension.
Responsibilities
• Run and Monitor Inferences
o Execute batch inference jobs on Databricks and other environments.
o Troubleshoot inference issues, log results, and escalate model anomalies.
• Pipeline & Evaluation Support
o Assist with running DSPy pipelines and loading custom models/configs.
o Support evaluation runs using internal metrics
o Track and summarize performance metrics for inference experiments.
• Data Handling & Experimentation
o Help prepare and clean legal text datasets for inference and evaluation.
o Annotate outputs to support error analysis and benchmarking.
o Maintain reproducible scripts/notebooks for inference runs.
Qualifications
Must have:
must have experience Azure data tools - azure, databricks, MLflow, python
General Skills
Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills. Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance Adept at communicating to both technical and non-technical audiences Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores Experience designing high quality interfaces to present information in a meaningful way to end users Broad understanding of data management, financial and business analysis, database architecture, and information visualization Proficiency in query languages and experience constructing complex query statements Experience in one or more programming or scripting languages Strong investigative and logic skills. Proficiency in mathematics and statistics Awareness of emerging Business Intelligence trends and directions Functional area experience as required Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset Proficiency with desktop analysis software including Microsoft Excel, Access, VBA
Qualifications
· Background in Computer Science, Data Science, or AI/ML (student or recent grad is good).
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
· Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).
· Comfortable working with Databricks / MLflow or other cloud ML environments.
· Detail-oriented with strong organizational skills for tracking experiments.
Summary
If you are interested in the Senior Data Analytical Specialist/Scientist role in Toronto, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
show more
Do you have experience with Azure data tools - azure, databricks , MLflow and python? If so, this would be a great opportunity for you!.
Our client is looking for a "Senior Data Analytical Specialist/Scientist" for a 6 month contract in Toronto.
This is a hybrid role 3 Days onsite / 2 days remote.
Advantages
• Earn a competitive rate within the industry.
• Hybrid: 3 Days onsite / 2 days remote
From October 20, 2025, the candidate is required to work onsite 4 days a week and 1 day from home
From January 5, 2026, the candidate is required to work onsite 5 days a week fully
• Potential for extension.
Responsibilities
• Run and Monitor Inferences
o Execute batch inference jobs on Databricks and other environments.
o Troubleshoot inference issues, log results, and escalate model anomalies.
• Pipeline & Evaluation Support
o Assist with running DSPy pipelines and loading custom models/configs.
o Support evaluation runs using internal metrics
o Track and summarize performance metrics for inference experiments.
• Data Handling & Experimentation
...
o Help prepare and clean legal text datasets for inference and evaluation.
o Annotate outputs to support error analysis and benchmarking.
o Maintain reproducible scripts/notebooks for inference runs.
Qualifications
Must have:
must have experience Azure data tools - azure, databricks, MLflow, python
General Skills
Excellent analytical, problem-solving and decision-making skills, verbal and written communication skills, interpersonal skills and team work skills. Outstanding consulting and relationship management skills, with proven ability to elicit requirements, develop/consult on options and solutions, and provide effective guidance Adept at communicating to both technical and non-technical audiences Experience with a range of analytical methods, techniques and tools such as, but not limited to: statistical analysis and modelling, data mining, machine learning and algorithms, natural language processing, and other related disciplines at the specified experience level Ability to manipulate and analyze complex, high-volume data from structured and unstructured sources Experience developing data extraction, transformation, and load functionality for large relational and multi-dimensional data stores Experience designing high quality interfaces to present information in a meaningful way to end users Broad understanding of data management, financial and business analysis, database architecture, and information visualization Proficiency in query languages and experience constructing complex query statements Experience in one or more programming or scripting languages Strong investigative and logic skills. Proficiency in mathematics and statistics Awareness of emerging Business Intelligence trends and directions Functional area experience as required Experience with analytical software such as R, PowerPivot, Matlab, SPSS, or SAS an asset Proficiency with desktop analysis software including Microsoft Excel, Access, VBA
Qualifications
· Background in Computer Science, Data Science, or AI/ML (student or recent grad is good).
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
· Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).
· Comfortable working with Databricks / MLflow or other cloud ML environments.
· Detail-oriented with strong organizational skills for tracking experiments.
Summary
If you are interested in the Senior Data Analytical Specialist/Scientist role in Toronto, please apply online at www.randstad.ca. Qualified candidates will be contacted.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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