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Randstad Logo Randstad · IT - Software Development

Senior Data Scientist

Canada, Calgary · Job Posted June 16, 2026
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Job Description

In this role, you will be the architectural force behind the algorithms that power Our Client’s analytical products. You will design, test, and deploy high-impact models that solve complex business problems, optimize operations, and uncover hidden data patterns. Operating within a fast-paced, Minimum Viable Product (MVP) framework, you will collaborate closely with Data Engineers and cross-functional teams to turn raw data into scalable, sustainable data products and translate complex findings into compelling visual narratives for executive stakeholders.

Job Responsibility

  • Design, create, test, and implement advanced statistical and machine learning models to drive analytical products throughout the organization
  • Utilize advanced data science techniques to identify hidden data patterns, system anomalies, and strategic optimization opportunities
  • Conduct rigorous statistical and mathematical analysis to back up core product decisions and algorithmic frameworks
  • Partner closely with Data Engineers and domain Subject Matter Experts (SMEs) to deeply understand raw data sources
  • Design and build engineered features that directly improve model accuracy, performance, and scalability
  • Guide the technical design of data pipelines to ensure they cleanly support advanced analytical workflows
  • Provide advanced subject matter expertise on complex statistical and mathematical concepts for the broader Data and Analytics department
  • Inspire, champion, and accelerate the adoption of advanced data science methodologies across the entire corporate ecosystem
  • Collaborate with cross-functional product teams to deliver scalable and sustainable data products using a phased MVP approach
  • Interpret, translate, and communicate complex analytical findings and mathematical concepts to non-technical business stakeholders through high-quality data visualizations

Requirements

  • Advanced, progressive experience in Data Science, Predictive Modeling, or Advanced Mathematical Analytics within an enterprise environment
  • Proven track record of taking algorithms from prototype to production deployment using agile/MVP release cycles
  • Demonstrated experience leading or heavily contributing to the rollout of Big Data capabilities and analytical frameworks
  • Expert-level understanding of statistical concepts, mathematical modeling, and algorithmic design
  • Strong proficiency in data science programming ecosystems (e.g., Python, R) and data manipulation languages (SQL)
  • Deep understanding of feature engineering, data structures, and pipeline infrastructure
  • Advanced capability in data visualization and data storytelling tools (e.g., Power BI, Tableau, or open-source visualization libraries)

What we offer

  • Enterprise-Wide Influence
  • High-Impact Product Delivery
  • End-to-End Collaboration
  • Innovation-Driven Track
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