Senior Data Scientist - HYBRID

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.

Advantages

• Enterprise‑Wide Influence: Serve as a thought leader and mentor, shaping the data science culture and inspiring advanced analytics adoption across all business units.
• High‑Impact Product Delivery: See your models come to life rapidly through a structured, agile MVP product release cycle.
• End‑To‑End Collaboration: Partner directly with data engineers, SMEs, and product teams to build sophisticated feature engineering pipelines.
• Innovation‑Driven Track: Lead next‑generation Big Data initiatives, anomaly detection workflows, and optimization strategies.

Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

Qualifications

Core Requirements

• Experience: Advanced, progressive experience in Data Science, Predictive Modeling, or Advanced Mathematical Analytics within an enterprise environment.
• Product Delivery: Proven track record of taking algorithms from prototype to production deployment using agile/MVP release cycles.
• Big Data Mastery: Demonstrated experience leading or heavily contributing to the rollout of Big Data capabilities and analytical frameworks.

Technical Skillset

• 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).

Our Client is seeking a visionary Senior Data Scientist / Statistical Modeling Lead to spearhead statistical analysis, modeling, and the strategic rollout of enterprise‑wide Big Data capabilities. This role blends deep mathematical mastery with strategic leadership, serving as the primary subject matter expert to inspire and drive the adoption of advanced data science frameworks across the entire organization.

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. We are dedicated to implementing strategies to increase equity, diversity, and inclusion throughout the entire lifecycle of our workforce, including recruitment, retention, and advancement for all employees. We respect human rights and are dedicated to positive actions to ensure full participation in the workforce free from any barriers, systemic or otherwise, especially for those underrepresented in Canada’s workforce, including women or non‑binary/gender non‑conforming individuals, Indigenous or Aboriginal Peoples, persons with disabilities, 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.