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. Algorithmic Modeling & Data Insights
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. Feature Engineering & Platform Collaboration
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. Thought Leadership & Enterprise Evangelism
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. Cross-Functional Product Delivery & Communication
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).

Summary
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. 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 Voir email sur randstad.com to ensure their ability to fully participate in the interview process. show more