Data Scientist

New York City

Applications have closed

MIRROR

MIRROR is now lululemon Studio. Access the world's best fitness brands with 10,000+ workout classes at your fingertips with your lululemon Studio Membership.

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Who lululemon Studio is:
lululemon Studio is a hybrid fitness experience that allows Members to experience original classes and programs – from lululemon Studio and the hottest boutique fitness studios – right from the lululemon Studio Mirror, on-the-go via the lululemon Studio App, or in-person at our partner studio locations and lululemon experiential stores. 
Formerly known as MIRROR, we joined the lululemon family in 2020. Guests can now experience the lululemon Studio Mirror in 200 stores (and counting!) across North America. Having the resources of a public, global company behind us, we’ll continue to grow rapidly with amazing workout content and in-home fitness innovation.
Ready to build with us?

Role Overview:As lululemon Studio’s newest Data Scientist, you’ll support the team by exploring data, developing research questions and hypotheses, and working closely with stakeholders to understand current business initiatives and potential opportunities. You’ll be joining our growing Data Team, and reporting directly to the Director of Data & Analytics. 
Your perspective will continue to drive improvement for lululemon Studio’s long term data analytics infrastructure, and we look forward to becoming a better organization because of it. At lululemon Studio, personal improvement isn’t a luxury, it’s a business imperative. Join the fun! 

How You’ll Add Value:

  • Create strong partnerships with internal teams at lululemon Studio to foster strategic and operational improvements through data-driven methods
  • Develop research roadmaps and undertake data exploration aimed at understanding how we can improve and expand our business strategies as well as lead the development of hypotheses / experiments that directly impact our Members
  • Partner with other members of the Data team to operationalize our insights by defining, codifying, and surfacing key metrics for end users to monitor and action on
  • Use statistics to explain and predict key aspects of our business including lifetime value, churn propensity, content performance, and member engagement

What You Bring to the Team:

  • 3-5 years of working in a similar Data Scientist role, ideally in a fast-paced, high-growth technology company
  • Record of success in taking on a variety of projects that deliver tangible business results while working with key collaborators from Marketing, Finance, and Operations teams
  • Curiosity to optimize work processes that build efficiency and data literacy across the organization
  • Daily experience with advanced SQL, a programming language (R or Python) coupled with source code management tools, such as Git, and other tools such as Hex or Jupityr Notebooks
  • A collaborative and effective communication style that lands with both technical and business counterparts

What Sets Us Apart:

  • Competitive compensation
  • Competitive healthcare coverage (medical, vision, dental)
  • 401K program with company match
  • Self-directed flexible time-off
  • Free Mirror and subscription throughout duration of employment
  • Work-from-home stipend
  • lululemon employee discount
At lululemon Studio, we’re building an inclusive culture where all identities, experiences, and perspectives are welcome. We believe that potential means more than pedigree, and encourage our teams to challenge the status quo, because innovation depends on it. We are an equal opportunity employer, and strive to reflect the world fully, accurately, and beautifully.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Data Analytics Finance Git Python R Research SQL Statistics

Perks/benefits: 401(k) matching Career development Competitive pay Flex hours Flex vacation Health care Home office stipend Startup environment

Region: North America
Country: United States
Job stats:  16  6  0
Category: Data Science Jobs

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