Data Scientist

Región: Canada

Estado: British Columbia

Localidad: Vancouver

Departamento: Store Support Centre (SSC)

Time Type: Full-time

Description & Requirements

Data Scientist

Who we are

lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be a growing global company with locations across North America, Australia and New Zealand, Europe, and Asia. We owe our success to our innovative product, our emphasis on our stores, our commitment to our people, and the incredible connections we get to make in every community we are in.

About this team

The Data Scientist is an exceptional critical thinker comfortable leading end-to-end data science projects, and passionate about uncovering hidden opportunities deep within data. The Data Scientist works with business partners to define the business problem and creates a solution approach with small core project teams. This individual then takes the approach all the way to implementing data products, in collaboration with technology teams and other members of the Product Analytics team. The Data Scientist will lead analytics work streams for the most difficult problems facing our Product functions in areas such as merchandising, merchandise planning, and allocations.

A day in the life

  • Lead data science projects from start to finish, identifying opportunities, defining the problem, building a proof of concept, and deploying a data product
  • Conduct data mining on guest, product, sales, assortment data sources for insights; generate hypotheses to test for opportunities in improving the merchandising and planning process
  • Apply a wide range of statistical and quantitative analysis in practical and valuable ways
  • Perform data pre-processing, data integrity, feature selection, model selection analysis
  • Participate in design workshops and document business requirements and constraints
  • Program and write maintainable and well-documented scripts/applications for process automation; produce reusable machine learning pipelines while model building
  • Connect with business partners to understand the go-to-market process, product lifecycle, and product strategy
  • Collaborate with data engineering teams to improve data quality and availability
  • Visualize and communicate results to senior leadership in Product
  • Create rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
  • Learn and work with subject matter experts


  • Excellent academics in Comp. Science, Engineering, Math, Statistics, Research, or a related field
  • Strong problem solving and analytical skills including mining, evaluation, analysis, and visualization;
  • Must have experience with Python (Jupyter, NumPy, Pandas, PySpark)
  • Must have experience in at least one of the common data science toolkits, such as scikit learn, Tensorflow,  PyTorch, etc..
  • Strong SQL or Excel skills with the ability to learn other analytic tools;
  • Ability to take on responsibilities and work with minimal supervision;
  • Ability to create and maintain outstanding partner relationships;
  • Strong technical aptitude;
  • Excellent written and verbal communication skills including reports and presentations;
  • A drive to learn and master new technologies and techniques
  • 3-5+ years of work experience in data science, preferably in the retail or apparel industries
  • Demonstrated experience applying machine learning and data mining techniques
  • Experience of working closely with MLOps  to push models to production is preferred
  • Excellent communication skills to both technical and non-technical audiences
  • Able to turn business problems into analytical solutions

Must haves:

  • Acknowledges the presence of choice in every moment and takes personal responsibility for their life.
  • Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
  • Communicates with honesty and kindness, and creates the space for others to do the same.
  • Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
  • Fosters connection by putting people first and building trusting relationships.
  • Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously.

NOTE: Only those applicants under consideration will be contacted. Please accept our utmost appreciation for your interest. lululemon is an Equal Employment Opportunity employer. Employment decisions are based on merit and business needs, and not on race, color, creed, age, sex, gender, sexual orientation, national origin, religion, marital status, medical condition, physical or mental disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state or provincial and local laws and ordinances. Reasonable accommodation is available for qualified individuals with disabilities, upon request. This Equal Employment Opportunity policy applies to all practices relating to recruitment and hiring, compensation, benefits, discipline, transfer, termination and all other terms and conditions of employment. While management is primarily responsible for seeing that lululemon equal employment opportunity policies are implemented, you share in the responsibility for assuring that, by your personal actions, the policies are effective..