Data Scientist

地区: Canada

州/省: British Columbia

城市: Vancouver

业务单元: Store Support Centre (SSC)


Data Scientist
lululemon athletica
Founded in 1998 in beautiful Vancouver, BC, lululemon athletica creates components for people to live long, healthy and fun lives. 

A day in the life of the Data Scientist
The Data Scientist is an exceptional analytical leader who is passionate about applying machine learning and statistical modeling techniques to support product strategy at lululemon. This individual will be working closely with cross-functional partners to research data science models and oversee end-to-end implementation into production systems. Working with teams of diverse skillsets and backgrounds, the Data Scientist leads research projects to solve the most difficult problems facing our Product organization while mentoring junior team members.

core accountabilities
Research on cutting-edge data science algorithms to tackle business problems around product planning and assortment
Lead data science projects through each phase (research/proof of concept/implementation/support)
Contribute to the team roadmap, strategy and vision.
Provide technical guidance & mentorship to junior team members.
Educate cross-functional partners on machine learning and data science concepts.

The Finer Print
A university degree in a rigorous quantitative field such as mathematics, statistics, computer science, engineering, economics, physics, etc. 
3-7 years of work experience or equivalent in data science, analytics or software engineering, preferably in the retail or apparel industries
Demonstrated experiences in building up and enhancing enterprise-level machine learning and decision support models, preferably in large global organizations.
Proven technical experiences in analytics techniques such as machine learning, mathematical optimization, simulation, time series analysis and probabilistic models.
Proficient coding skills in Python and relevant Dev Ops, ML Ops, Software Engineering practices such as Github, Docker, JIRA.
Experiences in working with large datasets using SQL, Spark and cloud computing services.
Capable of driving projects of varying sizes and scope.

Our Must Haves  
Intellectual curiosity and ability to learn quickly
Comfortable dealing with ambiguity
Proven work ethic with utmost integrity
Desire to excel and succeed
Self-motivated, passionate, empathetic, and approachable