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Randstad Logo Randstad · IT - Software Development

Senior Data Science and Machine Learning Specialist

Canada, Waterloo 72.73 - 78.52 USD / Hour · Job Posted May 04, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • 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
  • Strong foundation in Statistics and mathematical modeling
  • Proficiency in designing scalable models suitable for automation
  • Bachelor’s Degree in Data Science, Statistics, Computer Science, or a related quantitative field

Nice to have

  • 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

What we offer

  • 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
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