lululemon

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 Senior Data Scientist

The Senior Data Scientist is an exceptional analytical leader who is passionate about applying machine learning and statistical modeling techniques to support product strategy. As a senior contributor, this individual will work closely with cross-functional partners to research applied data science models and oversee end-to-end implementation into production system. Working in teams of diverse skillsets and backgrounds, the Senior Data Scientist leads research projects to solve the most difficult problems facing our Product functions while mentoring junior team members.  They are a thought leader, and can solve complex business problems through the lens of data science.  They know how to guide a team, drive best-practices, and get the most out of their partners.

Core Accountabilities

• Research on cutting-edge data science algorithms to tackle business problems around product planning and assortment
• Provide thought leadership and contribution to team strategy and vision.
• Provide technical guidance, mentorship to team members.
• Educate cross-functional partners on machine learning and data science concepts.

The Finer Print

• An advanced degree (PhD Desired but a Masters with equivalent experiences is great) in a rigorous quantitative field such as mathematics, statistics, computer science, engineering, economics, physics, etc. 
• 8+ 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