Data Scientist

Data Scientist Join to apply for the Data Scientist role at lululemon . 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, including an equitable, inclusive and growth‑focused environment for our people. About This Team The Data Scientist is a strategic problem solver and critical thinker, skilled at leading end‑to‑end data science initiatives and uncovering hidden opportunities within complex datasets. Partnering closely with business stakeholders, this individual defines problems, shapes solution strategies, and drives execution with small, focused project teams. From concept to deployment, the Data Scientist transforms ideas into scalable data products, collaborating with technology teams and product managers to ensure seamless implementation. They will lead high‑impact analytics workstreams, tackling the most challenging problems across Product functions—including merchandising, merchandise planning, product development and design—to deliver insights and data products that directly influence business outcomes. Responsibilities Lead end‑to‑end data science projects: identify opportunities, define problems, prototype solutions, and deploy data products. Rapidly convert business problems into agentic AI prototypes, integrating reasoning, automation, and tool use. Help build and fine‑tune domain‑specific LLMs and agentic AI solutions that deliver real business impact; collaborate directly with stakeholders to translate problems into smart automation workflows. Mine and analyze product, sales, assortment, product attributes, and guest data to uncover insights and drive merchandising/planning improvements. Apply statistical, ML, and quantitative methods with skills in data preprocessing, feature engineering, model selection and evaluation. Build maintainable Python applications and reusable ML pipelines for automation and scalable deployment. Act as both technical expert and product owner, collaborating with stakeholders to align solutions with business strategy. Collaborate with Data Engineering and ML Engineering teams to ensure data quality, scalable infrastructure, and seamless deployment of models into production. Visualize and communicate results clearly to senior leadership through interactive dashboards and presentations. Qualifications Academic background in Computer Science, Engineering, Mathematics, or related fields. 3–5+ years in data science, ideally in retail/apparel, with proven ability to prototype quickly and iterate fast. 3+ years of experience in Python (NumPy, Pandas, PySpark) and ML frameworks (scikit‑learn, TensorFlow, PyTorch). 1+ year of experience with LLMs, LangChain/LangGraph, vector databases, RAG techniques, and agentic AI workflows. Strong SQL/Excel skills and ability to adopt new analytic tools rapidly. Demonstrated success in bridging technical and product ownership roles, translating business needs into analytical/AI solutions. Collaboration with Data Engineering and ML Engineering teams to deploy models into production. Excellent communication skills across technical and non‑technical audiences. Entrepreneurial mindset with strong problem‑solving skills and drive to master emerging AI paradigms. Continuous learner, eager to explore new technologies and techniques. 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. Additional Notes 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 $123,500 - 162,100 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 Workplace Arrangement Hybrid: In‑person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Engineering and Information Technology Retail #J-18808-Ljbffr