Data Scientist

Overview Join to apply for the Data Scientist - Guest Analytics role at lululemon . Get AI-powered advice on this job and more exclusive features. Direct message the job poster from 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. 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 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 data model requirements for IT and data engineering organizations. Qualifications Master’s degree, or equivalent experience in a technical discipline such as computer science, statistics, or engineering. Experience with supervised learning model development, evaluation, scoring and deployment. Ability to develop time-series, and predictive models. Familiarity with unsupervised and machine learning algorithms (clusters, neural networks). Proficient in SQL & Python programming and modern development tools (e.g. Git, Databricks). Familiarity with structure and unstructured data types. Experience with cloud data architecture, and ability to develop model data sets from multiple internal data sources. Experience working with or developing recommendation systems. Proven ability to lead cross-functional projects and demonstrate effective verbal and written communication skills. 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, i.e. 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 $105,800-$138,800 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. 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 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. Senior Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Retail #J-18808-Ljbffr