Region: Canada
State: British Columbia
City: Vancouver
Business Unit: Store Support Centre (SSC)
Senior Data Scientist
Description & Requirements
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
#LI-DC1
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.
lululemon is committed to providing reasonable accommodation to applicants with disabilities. If you would like someone from our team to contact you for individualized support, email us at accommodations@lululemon.com. In your email, please include the position title, the location of the position and the nature of your request.