Location: Canada

State/Province/City: British Columbia

City: Vancouver

Business Unit: Store Support Centre (SSC)

Time Type: Full-time

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Description & Requirements

about this team

The Enterprise Data & AI team is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and products that enable the enterprise to operate with intelligence at scale. The team leads the design and delivery of a trusted unified data foundation, advanced analytics capabilities, and AI solutions across lululemon's vertically integrated retail ecosystem, embedding strong data governance and responsible AI practices from the very beginning. By applying AI to critical business challenges and creating new, transformative AI solutions, the team helps reshape how lululemon operates. Through deep partnership with product, technology, and business teams, Enterprise Data & AI accelerates product innovation, unlocks measurable value, elevates guest and educator experiences, and drives enterprise efficiency.

core responsibilities

As a Senior Applied AI/ML Scientist, you lead the delivery of AI/ML solutions for complex business challenges, translating business requirements into scalable, production-ready models and intelligent systems. You provide hands-on technical leadership across solution design, experimentation, validation, and deployment; influence technical direction within your problem space; and guide peers and junior scientists. You partner closely with product, engineering, and business teams to ensure solutions are robust, maintainable, responsibly applied, and tied to measurable business outcomes.

Examples of work include:

• Designing and deploying machine learning and predictive/generative AI models for demand forecasting, optimization, personalization and search, intelligent automation, and multimodal content creation and enrichment
• Applying NLP, computer vision, multimodal, or time-series modeling techniques to enterprise-scale datasets spanning structured and unstructured data
• Building production-ready AI/ML pipelines and evaluation approaches that connect model performance to business decisions and measurable outcomes
• Partnering with product, engineering, and business stakeholders to assess AI feasibility, risks, trade-offs, and value for complex use cases

Select responsibilities include:

• Develop and lead complex AI/ML solutions for strategic business problems, selecting appropriate methods, developing advanced models, and delivering production-ready solutions that create significant business value
• Drive production at scale by building robust AI/ML systems for business-critical use cases, applying strong practices for deployment, monitoring, reliability, and maintainability in partnership with engineering teams

• Translate business requirements into AI/ML solution designs, connecting model capabilities and constraints to business workflows and identifying opportunities to improve or reimagine processes
• Develop reusable AI/ML approaches and components across related use cases; establish rigorous evaluation and business-impact measurement practices within the team and contribute to broader standards
• Integrate business domain expertise into AI/ML solutions by building strong stakeholder relationships, incorporating business context into technical decisions, and ensuring solutions address strategic objectives

qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field, or equivalent experience

• 6-10 years of AI/ML research, data science, or computational research experience, or equivalent, which includes educational experience (e.g., a Master's degree)
• Demonstrated ability to maintain deep, current expertise across a breadth of AI/ML techniques and evaluate or adapt emerging and state-of-the-art methods to specific business constraints and use-case requirements
• Proven track record leading the design and implementation of complex AI/ML solutions with multiple models or components, with strong practices for code quality, evaluation rigor, reproducibility, and responsible AI
• Demonstrated experience architecting and deploying AI/ML solutions that balance model performance, scalability, reliability, and operational complexity across real-time and data-intensive environments
• Experience implementing ML solutions using commonly used tools such as Python, PyTorch, cloud ML platforms and libraries, open-source toolkits, and reusable ML components

must haves

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create the space for others to do the same.
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously.

Please Note:

Authorization to work in Canada is required for this role.

compensation and benefits package

lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $183,590 - $240,960 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

• Extended health and dental benefits, and mental health plans
• Paid time off
• Savings and retirement plan matching
• Generous employee discount
• Fitness & yoga classes
• Parenthood top-up
• Extensive catalog of development course offerings
• People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

workplace arrangement

Hybrid

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

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Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest.

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