Data Scientist

TELUS

Data Scientist designing and maintaining data architecture for AI-powered field tools in Quebec and Ontario. Collaborating with leadership to define problems and deliver actionable solutions.

Posted 7/16/2026full-timeSt-Léonard • 🇨🇦 CanadaMid-LevelSenior💰 CA$86,000 - CA$136,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced SQL and Python proficiency for building data pipelines and operational tools, with hands-on experience in agentic AI frameworks and data modeling. Capable of translating operational challenges into actionable data solutions while working independently in ambiguous environments.

Highest-signal resume keywords

Advanced SQL SkillsPython ProficiencyAgentic AI Frameworks ExperienceData Modeling FundamentalsExperience with BI Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentData ModelingMLOps PracticesMachine Learning ModelsAgentic Coding ToolsDashboard DevelopmentLightweight API DevelopmentSource Control

Soft Skills

Problem-SolvingCommunicationIndependence

Tools & Technologies

BigQueryLookerTableauLangChainClaude APIVertex AIGitHub

Industry Keywords

Operational DataField OperationsTelemetryService OrdersSchedulingDispatchBilingual English/French

Tech Stack

Tools & technologies

BigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Design and maintain the data architecture that underpins AI-powered field operations tooling — pipelines, semantic layer, and the clean interfaces that make operational data usable by LLMs and agents
Build and deploy end-to-end tools: from raw telemetry and CRM data through to field manager-facing interfaces (dashboards, alerts, agentic workflows)
Use agentic coding tools (Claude Code, Cursor, or equivalent) as part of your daily workflow — this role ships faster than traditional analyst roles because it builds differently
Partner with data platform and BI teams to define where EFO data lives, how it gets modeled, and how it gets consumed — you own the field ops slice, not the whole warehouse
Identify the 2–3 high-leverage use cases each quarter (coaching prep, schedule adherence, route deviation, performance/productivity metric visibility) and take them from concept to field-ready tool
Instrument your own work: define success metrics, track field manager (FM) adoption, and present quarterly checkpoints to leadership
Operate as an embedded IC — you have a seat at the director table, not a ticket queue

Requirements

What you’ll need

Advanced SQL skills, including experience with BigQuery or equivalent cloud data platforms
Proficiency in Python; comfort building scripts, pipelines, and lightweight APIs — not just notebooks
Experience building data pipelines that serve operational (not just analytical) consumers
Hands-on experience with agentic AI frameworks or LLM tooling (LangChain, Claude API, Vertex AI, or equivalent) — you've shipped something real with these tools, not just prototyped
Strong data modeling fundamentals — you understand what a semantic layer is and why it matters
Ability to work across ambiguous problem spaces: you can talk to a field manager, understand the operational friction, and translate it into a data question worth solving
Comfort working without a large team — you build, own, and maintain your work
Experience with source control (GitHub) and basic software development practices
Nice to have: Experience with operational or field-services data (dispatch, scheduling, telemetry, service orders)
Familiarity with TELUS data platforms or BCX operational systems
Experience building dashboards in Looker, Tableau, or equivalent BI tools
Knowledge of MLOps practices: model versioning, deployment, monitoring
Experience building ML models for regression, classification, or NLP tasks
Bilingual English/French — asset for QC operational context

Benefits

Comp & perks

Comprehensive total rewards package highlighting competitive salary and bonus structures
Minimum 3 weeks of vacation
Flexible benefits plan to meet the needs of you and your family
Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
Generous company matched pension and share purchase programs
Opportunity to give back to communities in which we work, live and serve
Career growth and learning & development opportunities to develop your skills
And much more …