Data Scientist, Experimentation & Incremental Measurement

lululemon; Vancouver; Hybrid; CAD 105,000 - 139,000; Full time

Job summary

Join lululemon as a Data Scientist focusing on Experimentation and Incremental Measurement. In this role, you’ll design complex experiments and analyze results to influence strategic decisions. Your expertise in statistical modeling will drive our initiatives in data-informed decision-making as part of a dynamic and innovative team.

Benefits

Extended health and dental benefits

Paid time off

Savings and retirement plan matching

Generous employee discount

Fitness & yoga classes

Parenthood top-up

Extensive catalog of development course offerings

Mentorship programs

Qualifications

• Master’s or Ph.D. degree in a quantitative field is essential.
• 5+ years of experience focusing on data science and experimentation.
• Expertise in statistical modeling and causal inference.

Responsibilities

• Design and analyze complex experiments to understand causal impacts.
• Develop frameworks for A/B and multivariate testing.
• Provide actionable insights from experiment results.

Skills

Statistical modeling

Causal inference techniques

Data visualization

Communication skills

Python

R

SQL

Education

Master’s or Ph.D. in Statistics, Economics, Computer Science

Job description

Data Scientist, Experimentation & Incremental Measurement

Join to apply for the Data Scientist, Experimentation & Incremental Measurement role at lululemon

Data Scientist, Experimentation & Incremental Measurement

Join to apply for the Data Scientist, Experimentation & Incremental Measurement role at lululemon

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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.

Requirements

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

We lead driving data-informed decision-making through rigorous experimentation and measurement. We are responsible for establishing and evangelizing best practices in experiment design and advanced statistical measurement, ensuring that marketing initiatives are backed by solid evidence. We directly influence strategic decisions and drive significant business growth by providing clear insights into the causal impact of various interventions. Our expertise in causal inference and experimentation methodologies allows the organization to optimize strategies and achieve measurable results.

a day in the life: what you'll do

• As a Data Scientist on this team, you will design and analyze complex experiments to understand the causal impact of our initiatives.
• Develop and maintain a comprehensive framework for experimentation, including A/B testing and multivariate testing.
• Design and implement advanced statistical techniques for measuring incremental impact and causal inference.
• Conduct in-depth analysis of experiment results, providing clear and actionable insights to stakeholders.
• Collaborate with stakeholders to ensure alignment on experimentation goals and priorities.
  
  

Qualifications

• Master’s or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
• 5+ years of experience in data science, with a strong focus on experimentation and causal inference
• Expertise in statistical modeling and causal inference techniques
• Intermediate to advanced skills in Python or R and SQL
• Strong data visualization and communication skills
• Deep understanding of A/B testing, multivariate testing, and other experimentation methodologies
• Proven ability to translate complex data insights into actionable business recommendations
• Strong understanding of incremental measurement and marketing analytics
  
  

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

Immigration support is potentially available 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 position is from$105,800 - $138,800annually; 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
• Generous employee discount
• Fitness & yoga classes
• 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail

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