Senior Data Scientist, Canada

Atreides

Senior Data Scientist leading deep analytical investigations to transform complex datasets into actionable insights. Collaborating with cross-functional teams on high-value analytic requests for operational needs.

Posted 4/17/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies

PythonSparkSQL

About the role

Key responsibilities & impact

Design and lead investigations into patterns, trends, and edge cases across filtered datasets.
Develop interaction models and fused analyses across multiple entity types and data modalities.
Design data validation, anomaly sanity checks, and analytical reliability frameworks to ensure analytical outputs behave correctly across varied data inputs.
Partner with solutions and data engineering to embed analytic logic into data pipelines and services.
Conduct bespoke, high-complexity analysis in support of customer-facing or operational needs.
Guide team best practices in Spark SQL usage, data documentation, and exploratory reproducibility.

Requirements

What you’ll need

5+ years of experience in data science, applied analytics, machine learning, or analytical R&D.
Advanced expertise in Python and distributed compute frameworks (e.g., Spark, Databricks), including strong proficiency in Spark SQL.
Strong background in statistical inference, anomaly detection, clustering, interaction modeling, or other analytical methods suited to large and heterogeneous datasets.
Experience working with multi-source, semi-structured, geospatial, or entity-centric data, with a strong ability to derive insight from complex operational environments.
Demonstrated success building data quality, validation, or reliability frameworks, particularly for analytical workflows or model-adjacent processes.
Ability to translate ambiguous analytical problems into structured, reproducible investigation plans.
Excellent communication, mentorship, and cross-functional collaboration skills.
Nice to have: Experience with MLflow, feature stores, or MLOps platforms; familiarity with model lifecycle management, reproducibility tooling, or production model monitoring.

Benefits

Comp & perks

Competitive salary
Comprehensive health, dental, and vision insurance plans
Flexible hybrid work environment
Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSparkDatabricksSpark SQLstatistical inferenceanomaly detectionclusteringinteraction modelingdata validation frameworksanalytical reliability frameworks

Soft Skills

communicationmentorshipcross-functional collaborationproblem-solvinganalytical thinking