Data Scientist
Vancouver, BC, CA, V6B 3K9
Description
Join our team and what we'll accomplish together
At TELUS, we strive to create meaningful customer experiences and leverage our vast data resources to drive our decision making. We want to accelerate and expand our capabilities to continually provide the right intelligence to our leaders.
We’re looking for a highly motivated and forward-thinking Data Scientist to assess, develop, and improve our business intelligence processes. If you thrive on building visibility into complex systems and leveraging Machine Learning methodologies to drive intelligent decision-making, this role is for you.
What You’ll Do
You’ll take end-to-end ownership of the data and analytics development, working closely with Product Managers and cross-functional stakeholders to build scalable data solutions delivering insight, operational efficiency, and AI-powered innovation.
Key responsibilities:
- Define and lead the data strategy and roadmap for multiple product lines and business units
- Build end-to-end visibility into product, operational, and financial data to support daily business decisions
- Partner with Product Managers to define KPIs, develop insights, and bring clarity to business performance
- Identify data gaps and blind spots, and lead cross-functional efforts to close them through scalable solutions
- Work with BI, Engineering, and Data Governance teams to source, model, and manage datasets
- Build dashboards and visualizations using Tableau, Power BI, or other tools to enable product and executive insights
- Prototype new workflows, Python scripts, and automation pipelines to accelerate outcomes
- Contribute to building a scalable, foundational data architecture that enables innovation and long-term growth
Qualifications
What you bring
- 2+ years of experience in data science, analytics, or product strategy
- Deep understanding of AI/ML concepts, automation, and data structure design
- Strong entrepreneurial mindset with experience leading initiatives independently
- Proficiency in SQL and Python; comfortable working with cloud platforms (e.g., BigQuery, Snowflake)
- Skilled in dashboard development using Tableau, Power BI, or equivalent tools
- Experience resolving data quality issues and closing data gaps across teams
- Experience with Agentic AI frameworks (e.g., LangChain, AutoGPT, OpenAI functions) is a strong asset
- MCP Server knowledge (in the context of Agentic AI infrastructure or orchestration) is a plus
- Excellent data storytelling and stakeholder engagement skills