Cette offre d'emploi n'est plus disponible
Senior Data Scientist
CGI
- Victoria, British Columbia, Canada
- Victoria, British Columbia, Canada
À propos
We are seeking a versatile Senior Data Scientist who can work across applied analytics and machine learning domains, including computer vision, statistical analysis, and policy‑relevant insight generation. This role is ideal for a data scientist who enjoys balancing exploratory analysis, model development, and clear communication of findings to technical and non‑technical audiences.
You will work with multidisciplinary teams including data engineers, BI developers, architects, and business stakeholders. You will focus on analysis, modeling, experimentation, and insight generation.
This position supports a wide range of analytics and AI initiatives such as computer vision prototyping, urban and regulatory analytics, housing and economic trend analysis, and other data‑driven decision‑support projects.
Your future duties and responsibilities
Conduct statistical, time‑series, and trend analysis to identify patterns, anomalies, changes over time, and emerging signals.
Develop clear, reproducible analytical methods, KPIs, and metrics used in dashboards and recurring reports.
Translate analytical outcomes into recommendations, narratives, and visual summaries for stakeholders.
Support compliance, policy, planning, operational, or performance‑monitoring use cases with data‑driven insights.
Collaborate with BI developers to ensure analytical logic is accurately reflected in dashboards and reports.
Computer Vision & Machine Learning
Design and run computer vision experiments (classification, detection, segmentation) using real‑world imagery.
Handle preprocessing challenges such as variable image quality, occlusions, inconsistent lighting, and diverse viewpoints.
Develop evaluation methods, dataset documentation, and experiment reproducibility practices.
Work within modern ML platforms to manage models, experiment tracking, and model artifacts.
Participate in human‑in‑the‑loop evaluation workflows to validate model performance and support iterative improvement.
Collaboration & Governance
Work within Azure ML and related Azure services.
Partner with data engineers, architects, and SMEs to ensure analytical readiness and data quality.
Produce well‑structured documentation: model cards, metric definitions, analytical notes, and reproducible notebooks.
Adhere to privacy, security, and Responsible AI practices when handling sensitive or identifiable data.
Communicate results clearly to diverse technical and non‑technical audiences.
Required Qualifications To Be Successful In This Role
Bachelor's degree in a quantitative or technical discipline is required.
Strong analytical reasoning skills, including the ability to translate ambiguous business or policy questions into structured analytical or ML approaches.
Experience applying modern AI techniques (e.g., embeddings, semantic search, or foundation‑model‑powered analysis) in practical, production‑minded settings.
Hands‑on experience evaluating or integrating pre‑trained models into analytics or ML workflows using Azure AI services.
Experience with Azure AI Foundry or similar foundation‑model experimentation environments.
Demonstrated ability to collaborate effectively with data engineers, BI developers, architects, and domain experts in multidisciplinary teams.
Experience designing and evaluating experiments, including defining metrics, baselines, sampling strategies, and reproducible evaluation procedures.
Understanding of Responsible AI principles, risk mitigation, bias evaluation, and explainability best practices.
5+ years of experience in applied data science or analytics, producing measurable business or policy impacts.
Strong Python skills (pandas, numpy, scikit‑learn; plus PyTorch or TensorFlow for ML/CV).
Strong SQL skills for querying and analytical exploration.
Ability to communicate complex technical concepts in clear, accessible language.
Experience working in environments with privacy, security, or auditability requirements.
Preferred Qualifications
Master's degree in Data Science, Computer Science, Engineering, Statistics, or a related field is preferred
Experience with cloud‑based ML environments or ML lifecycle tools.
Experience with geospatial data, coordinate systems, or spatial analysis.
Familiarity with annotation workflows, labeling QA, or human‑in‑the‑loop processes.
Background in impact analysis, behavioral pattern detection, or compliance analytics.
Knowledge of Responsible AI principles and data‑ethics practices.
CGI is providing a reasonable estimate of the pay range for this role. The determination of this range includes various factors including but not limited to skill set level, geographic market, experience and training, and licenses and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 - $160,000.
Together, as owners, let's turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction.
Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.
To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.
Come join our team—one of the largest IT and business consulting services firms in the world.
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre a été publiée par l’un de nos partenaires. Vous pouvez consulter l’offre originale ici.