As a Senior Data Science and Machine Learning Specialistt, you will be the bridge between complex datasets and strategic business outcomes. You will be responsible for predicting trends and extracting meaningful recommendations by applying rigorous data science methodologies. This role requires a blend of mathematical expertise, statistical proficiency, and engineering mindset to design, test, and deploy models that solve real-world business challenges.
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Advantages
Cloud-First Environment: Work extensively with modern tools like GCP and BigQuery to handle massive datasets.
End-to-End Ownership: Move beyond simple analysis to design, implement, and automate full-scale ML experiments.
Hybrid Collaboration: Enjoy a Hybrid schedule (4 days per week in the office) based in our Client's Waterloo location, fostering high-level collaboration with a talented peer group.
Senior Impact: Take on a high-level specialist role where your research and architectural decisions directly influence business strategy.
Innovation-Driven: A culture that encourages staying updated with the latest domain research and adopting cutting-edge analytics techniques.
Responsibilities
Key Responsibilities
Strategic Analysis: Partner with business stakeholders to understand requirements and determine the most effective analytical approaches to support long-term goals.
Model Development: Design and implement sophisticated ML models, hypotheses, and algorithms to support automated decision-making.
Advanced Analytics: Apply data mining, predictive/prescriptive modeling, and advanced statistics to uncover complex relationships and trends within large datasets.
Optimization & Scaling: Develop efficient data loading and augmentation techniques to enhance model accuracy and ensure solutions are robust enough for automated, large-scale production.
Continuous Research: Stay at the forefront of the data science domain, identifying and adopting new tools and techniques to improve analysis efficiency and accuracy.
Technical Integration: Work closely with cloud environments to ensure data-intensive applications are effectively deployed and maintained.
Qualifications
Qualifications & Certifications
Required Experience:
7+ years of professional experience in data science, analytics, or a related field.
5+ years of hands-on experience with Microsoft SQL Server, ETL processes, and Database Design.
5+ years of experience working with GCP (Google Cloud Platform), Big Data, and BigQuery.
Technical Skills:
Strong foundation in Statistics and mathematical modeling.
Proficiency in designing scalable models suitable for automation.
Desired Knowledge (Preferred):
Cloud DevOps: Experience deploying data pipelines or data-intensive applications using containerization and Infrastructure as Code (IaC).
Development: Proficiency in Java or C#.
Web Development: Experience in web application development is a significant plus.
Education:
Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related quantitative field.
Summary
We are looking for a Senior Data Science and Machine Learning Specialist to transform raw data into actionable intelligence. In this role, you will leverage machine learning, predictive modeling, and advanced analytics to uncover hidden patterns and drive data-driven decision-making. If you have a deep background in statistical modeling and a passion for building scalable, automated data solutions in a cloud environment, we want to meet you.
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.
This posting is for existing and upcoming vacancies.
show more
As a Senior Data Science and Machine Learning Specialistt, you will be the bridge between complex datasets and strategic business outcomes. You will be responsible for predicting trends and extracting meaningful recommendations by applying rigorous data science methodologies. This role requires a blend of mathematical expertise, statistical proficiency, and engineering mindset to design, test, and deploy models that solve real-world business challenges.
Advantages
Cloud-First Environment: Work extensively with modern tools like GCP and BigQuery to handle massive datasets.
End-to-End Ownership: Move beyond simple analysis to design, implement, and automate full-scale ML experiments.
Hybrid Collaboration: Enjoy a Hybrid schedule (4 days per week in the office) based in our Client's Waterloo location, fostering high-level collaboration with a talented peer group.
Senior Impact: Take on a high-level specialist role where your research and architectural decisions directly influence business strategy.
Innovation-Driven: A culture that encourages staying updated with the latest domain research and adopting cutting-edge analytics techniques.
...
Responsibilities
Key Responsibilities
Strategic Analysis: Partner with business stakeholders to understand requirements and determine the most effective analytical approaches to support long-term goals.
Model Development: Design and implement sophisticated ML models, hypotheses, and algorithms to support automated decision-making.
Advanced Analytics: Apply data mining, predictive/prescriptive modeling, and advanced statistics to uncover complex relationships and trends within large datasets.
Optimization & Scaling: Develop efficient data loading and augmentation techniques to enhance model accuracy and ensure solutions are robust enough for automated, large-scale production.
Continuous Research: Stay at the forefront of the data science domain, identifying and adopting new tools and techniques to improve analysis efficiency and accuracy.
Technical Integration: Work closely with cloud environments to ensure data-intensive applications are effectively deployed and maintained.
Qualifications
Qualifications & Certifications
Required Experience:
7+ years of professional experience in data science, analytics, or a related field.
5+ years of hands-on experience with Microsoft SQL Server, ETL processes, and Database Design.
5+ years of experience working with GCP (Google Cloud Platform), Big Data, and BigQuery.
Technical Skills:
Strong foundation in Statistics and mathematical modeling.
Proficiency in designing scalable models suitable for automation.
Desired Knowledge (Preferred):
Cloud DevOps: Experience deploying data pipelines or data-intensive applications using containerization and Infrastructure as Code (IaC).
Development: Proficiency in Java or C#.
Web Development: Experience in web application development is a significant plus.
Education:
Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related quantitative field.
Summary
We are looking for a Senior Data Science and Machine Learning Specialist to transform raw data into actionable intelligence. In this role, you will leverage machine learning, predictive modeling, and advanced analytics to uncover hidden patterns and drive data-driven decision-making. If you have a deep background in statistical modeling and a passion for building scalable, automated data solutions in a cloud environment, we want to meet you.
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.
This posting is for existing and upcoming vacancies.
show more
