Data Scientist - Data Science - F/H

Be a part of a transformational journey with innovative talent and leading edge technologies.

This is an exciting opportunity to join the Systems Simplification Innovation Hub within Systems Simplification Team. We are a dynamic and agile team revolutionizing TELUS operations by designing data‑driven solutions that optimize OpEx, CX, sales, billing, and other key metrics across our national workforce. Our Data Analytics team is the go‑to destination for analytical, creative professionals passionate about developing their talents while solving some of TELUS' most significant challenges.

As a Data Scientist, you’ll work closely with stakeholders and software engineers to identify and implement scalable data architectures, transform raw data into actionable insights, and create compelling visualizations that drive business decisions across TELUS.

Data Architecture & Engineering: Design and build robust data pipelines and architectures on Google Cloud Platform (GCP), leveraging BigQuery, Workflows, Cloud Scheduler, Dataproc, and Batch jobs. Establish scalable ETL/ELT processes that efficiently ingest, transform, and prepare data from diverse sources for analytics and reporting. Build and manage GCP resources using Pulumi and YAML configurations, and maintain code in GitHub.

Advanced Analytics & Insights: Conduct in‑depth exploratory data analysis and apply statistical methods, machine learning techniques, and AI‑driven analytics to uncover patterns, trends, and actionable business insights. Develop analytical models and leverage AI capabilities to support strategic decision‑making and operational improvements across key business metrics.

Data Visualization & Dashboards: Design and build intuitive, visually compelling dashboards and reports in Looker Studio that communicate complex data stories to diverse stakeholders. Create data visualizations with a strong eye for clarity, aesthetics, and user experience that enable self‑service analytics.

Leverage GCP's data ecosystem (BigQuery, Workflows, Cloud Scheduler, Dataproc, Batch, and Vertex AI) to optimize query performance, reduce costs, and enable real‑time analytics. Implement best practices for data governance, security, and scalability within GCP environments.

Collaboration and Mentoring: Work with business teams and stakeholders to understand data requirements and translate business questions into analytical solutions. Document analytical findings and architectural decisions clearly, and mentor team members on data best practices.

Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline — or a PhD in a relevant field.

• 3+ years of experience designing and implementing data architectures and analytics solutions in production environments, delivering measurable business impact.
• Expert‑level experience with Looker Studio for creating dashboards, reports, and data visualizations that drive business insights and support decision‑making.
• Strong foundation in data architecture and ETL/ELT design, with the ability to optimize data pipelines for performance, scalability, and cost efficiency.
• Demonstrated expertise in data visualization and analytics, with a keen eye for designing clear, compelling, and actionable insights that resonate with both technical and business audiences.
• Experience working in GitHub, building and managing GCP resources using Pulumi and YAML configurations.
• Strong SQL skills and experience working with large‑scale datasets; proficiency in data modeling and dimensional design.
• Proven experience analyzing structured and unstructured data using statistical methods, exploratory data analysis, and machine learning techniques to drive insights.
• Proficiency in Python or similar languages for data processing and analytics.
• Experience leveraging AI capabilities and tools (such as Vertex AI) to build machine learning models and AI solutions that enhance analytical capabilities.
• Experience deploying and monitoring data solutions in production, with familiarity in CI/CD, version control, and cloud infrastructure best practices.
• Strong ability to translate business questions into analytical frameworks and communicate findings effectively with both technical and non‑technical stakeholders.

Performance Bonus or Sales Incentive Plan: 15%

Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family.

Flexibility to work in‑office, virtually or a combination of both.

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.

Note for Quebec candidates: if knowledge of English is required for this position, it is because the team member will be asked, on a regular basis, to interact in English with external or internal parties or to use English applications or software as part of their tasks.

We are committed to diversity and equitable access to employment opportunities based on ability. We offer accommodation for applicants with disabilities, as required, during the recruitment process.

#