Data Scientist - Guest Analytics
Company: lululemon
Location: Vancouver, British Columbia
Type: Full-time
Level: mid
Posted: 2026-02-11
About this role
Requirements
Description & Requirements
who we are
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
About This Team
The guest analytics team’s vision is to be the driving force behind transformative guest experiences, leveraging data insights to anticipate needs, personalize interactions, and foster meaningful connections. We aim to empower the business to not only understand our guests but to delight and exceed their expectations at every touchpoint, ultimately fostering loyalty and continual growth.
Core Responsibilities
The Data Scientist identifies and leads end-to-end Advanced Analytics projects using technical tools and methods. They are technical and functional leaders who build tools and share insights stakeholders need to make better decisions.
- Leverage statistical techniques like regression and cohort analysis to diagnose drivers of performance and identify patterns, trends and insights.
- Develop and maintain predictive models using machine learning techniques to forecast store sales, traffic and other KPIs that can scale.
- Evaluates and tests model performance to optimize models and execution.
- Determine optimal labor levels to achieve lululemon’s long term strategic goals
- Performs analysis to quantify the impact of guest LTV due to investment strategies within our retail space.
- Defines technical infrastructure and d...