Do you have 2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent? Do you have proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems? If so, this would be a great opportunity for you!
...
Our client is looking for an Intermediate Data Science Developer for a 5 month contract in Toronto.
This is a hybrid role.
Advantages
• Earn a competitive rate within the industry.
• Potential for extension.
• Hybrid:
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
Responsibilities
• Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards.
• Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reports).
• Liaises with cluster IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.
• Analyses complex technical issues, identifies alternatives and recommends solutions.
• Prepare and conduct knowledge transfer,
Qualifications
Must Have:
• 2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.
• Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.
• Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.
• Programming & Data Handling
• Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)
• SQL (complex queries, joins, aggregations, optimization)
• Data preprocessing (feature engineering, missing data handling, outlier detection)
• Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
General Skills :
Experience in multiple cloud base data and analytics platforms and coding/programming/scripting tools to create, maintain, support and operate cloud-based data and analytics products. Experience with designing, creating and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reporting) in real world implementations Experience in assessing client information technology needs and objectives Experience in problem-solving to resolve complex, multi-component failures Experience in preparing knowledge transfer documentation and conducting knowledge transfer A team player with a track record for meeting deadlines.
Desirable Skills:
Written and oral communication skills to participate in team meetings, write/edit systems documentation, prepare and present written reports on findings/alternate solutions, develop guidelines / best practices Interpersonal skills to explain and discuss advantages and disadvantages of various approaches Experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end data and analytics products Technology Stack Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse Python, SQL, Azure Databricks and Azure Data Factory Power BI.
Summary
If you are interested in the Intermediate Data Science Developer 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 2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent? Do you have proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems? If so, this would be a great opportunity for you!
Our client is looking for an Intermediate Data Science Developer for a 5 month contract in Toronto.
This is a hybrid role.
Advantages
• Earn a competitive rate within the industry.
• Potential for extension.
• Hybrid:
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
Responsibilities
• Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards.
• Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reports).
...
• Liaises with cluster IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.
• Analyses complex technical issues, identifies alternatives and recommends solutions.
• Prepare and conduct knowledge transfer,
Qualifications
Must Have:
• 2–5 years of professional experience in data science, data analytics, or a related quantitative field (e.g., data engineering, machine learning, or business intelligence) or equivalent.
• Proven experience in data analysis, visualization, and statistical modeling for real-world business or research problems.
• Demonstrated ability to clean, transform, and manage large datasets using Python, R, or SQL.
• Programming & Data Handling
• Python (pandas, NumPy, scikit-learn, statsmodels, matplotlib, seaborn)
• SQL (complex queries, joins, aggregations, optimization)
• Data preprocessing (feature engineering, missing data handling, outlier detection)
• Experience working with big data frameworks such as Apache Spark and Hadoop for large-scale data processing.
General Skills :
Experience in multiple cloud base data and analytics platforms and coding/programming/scripting tools to create, maintain, support and operate cloud-based data and analytics products. Experience with designing, creating and maintaining cloud-based data lake and lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reporting) in real world implementations Experience in assessing client information technology needs and objectives Experience in problem-solving to resolve complex, multi-component failures Experience in preparing knowledge transfer documentation and conducting knowledge transfer A team player with a track record for meeting deadlines.
Desirable Skills:
Written and oral communication skills to participate in team meetings, write/edit systems documentation, prepare and present written reports on findings/alternate solutions, develop guidelines / best practices Interpersonal skills to explain and discuss advantages and disadvantages of various approaches Experience in conducting knowledge transfer sessions and building documentation for technical staff related to architecting, designing, and implementing end to end data and analytics products Technology Stack Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse Python, SQL, Azure Databricks and Azure Data Factory Power BI.
Summary
If you are interested in the Intermediate Data Science Developer 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
