Data Scientist - Product

Région: Canada

État/Province: British Columbia

Ville: Vancouver

Unité commerciale: Store Support Centre (SSC)

Type d'heure: Full-time

Description et exigences

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

This team is responsible for delivering analytics and data science capabilities across the product organization and within technology systems that enable this team. They establish and deliver the strategy and roadmap for sustained growth of analytics and data science capabilities at lululemon.

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.
  • Collaborate with business partners to understand the go-to market process, product lifecycle, and product strategy, and how data science products can enable excellence.
  • Enrich product data through machine learning.
  • 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 organization.


  • 5+ years of work experience in data analytics, preferably in the retail or apparel industries.
  • Expert in R and/or Python for data analysis.
  • Expert in SQL
  • Demonstrated experience applying machine learning and data mining techniques.
  • Previous work experience with data visualization tools such as Power BI, Tableau and/or Shiny.

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.