Data Scientist - Guest Data Science

Lululemon Athletica; British Columbia; Hybrid; CAD 106,000 - 150,000; Full time

Job summary

An innovative performance apparel company seeks a Data Scientist to lead advanced analytics projects. This role focuses on developing and optimizing machine learning models to enhance guest experiences and drive organizational revenue. The ideal candidate will have a strong technical background in data science, including supervised learning, SQL, and Python, and will thrive in a collaborative, hybrid work environment. Join a forward-thinking team dedicated to creating positive change and fostering an inclusive culture where your contributions make a significant impact.

Benefits

Extended health and dental benefits

Paid time off

Savings and retirement plan matching

Parenthood top-up

Development course offerings

Mentorship programs

Leadership series

Qualifications

• Master’s degree or equivalent experience in a technical discipline.
• Experience with supervised learning model development and evaluation.
• Ability to develop time-series and predictive models.

Responsibilities

• Identify and lead end-to-end Advanced Analytics projects.
• Develop and manage targeting and segmentation models.
• Evaluate and test model performance to optimize execution.

Skills

Supervised Learning

SQL

Python

Machine Learning Algorithms

Data Analysis

Predictive Modeling

Time-Series Analysis

Education

Master’s Degree in Computer Science

Equivalent Experience in Statistics

Tools

Git

Databricks

Cloud Data Architectures

Job description

Business Unit: Store Support Centre (SSC)

Time Type: Full-time

Description & Requirements

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

The Guest Data Science team uses data and machine learning algorithms help us understand the best way to serve guests needs. We drive revenue and engagement for organization through all touchpoints with our guest, from marketing to contact with our Guest Education Center. Our love for data and learning helps improve every guests interaction.

a day in the life: what you’ll do

The Data Scientist identifies and leads end-to-end Advanced Analytics projects using technical tools and methods. They are technical and functional leaders who build tools and share insights stakeholders need to make better decisions.

• Develops and manages targeting and segmentation models for the Guest Education Center.
• Evaluates and tests model performance to optimize models and execution.
• Performs ad hoc analysis for stakeholders to identify new applications of data science and machine learning algorithms to support business outcomes.
• Defines technical infrastructure and data model requirements for IT and data engineering organizations.
• Supports and advises Guest Education Center leadership on best practices for implementation of ML algorithms and ML Ops.

qualifications

• Master’s degree, or equivalent experience in a technical disciple such as computer science, statistics, or engineering
• Experience with supervised learning model development, evaluation, scoring and deployment.
• Ability to develop time-series, and predictive models
• Familiarity with unsupervised and machine learning algorithms (clusters, neural networks)
• Proficient in SQL & Python programming and modern development tools (e.g. Git, Databricks)
• Familiarity with structure and unstructured data types. Experience with cloud data architectures, and ability to develop model data sets from multiple internal data sources
• Experience working with or developing recommendation systems
• Experience working with contact center data and thorough understanding of key metrics.

must haves

• Acknowledge the presence of choice in every moment and take personal responsibility for your life.
• Possess an entrepreneurial spirit and continuously innovate to achieve great results.
• Communicate with honesty and kindness and create the space for others to do the same.
• Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Foster connection by putting people first and building trusting relationships.
• Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.

Additional Notes
Authorization to work in Canada is required for this role.

Compensation and Benefits Package

lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and teamperformance. Thetypical hiring range for this positionis from$106,000 - $150,000annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.

At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:

• Extended health and dental benefits, and mental health plans
• Paid time off
• Savings and retirement plan matching
• Parenthood top-up
• Extensive catalog of development course offerings
• People networks, mentorship programs, and leadership series (to name a few)

Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.

Workplace Arrangement

Hybrid

In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

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 [e-mail] . In your email, please include the position title, the location of the position and the nature of your request.