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Data Scientist, Computer Vision

Technology
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Job Description

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JOB DESCRIPTION

You're an original. So are we.

We're a company of people who like to forge our own path. We invented the blue jean in 1873, and we reinvented khaki pants in 1986. We pioneered labor and environmental guidelines in manufacturing. And we work to build sustainability into everything we do. Our brands stand for freedom and self-expression around the world.

Where we lead, others follow. For more than 160 years, we've used the strength of our brands to lead with our values and make an outsized impact on the world. We employ more than 15,000 people globally to support our great brands: Levi's®, Dockers®, Denizen® and Signature by Levi Strauss & Co.™

At Levi Strauss & Co, we are revolutionizing the apparel business and redefining the way denim is made.

We are taking one of the world's most iconic brands into the next century: from creating machine learning-powered denim finishes to using block-chain for our factory workers' wellbeing, to building algorithms to better meet the needs of our consumers and optimize our supply chain.

Be a pioneer in the fashion industry by joining our global Data, Analytics & AI "startup with "assets," where you will have the chance to build exciting solutions that will impact our Global business and at the same time be part of a bigger, across-continents, data science community.

As a Data Scientist and Computer Vision Specialist you will be a key part of the Data, Analytics and AI team and will create and deploy image processing, machine learning and deep learning solutions that will address our consumers' needs while streamlining our processes and approaching the business in more innovative ways.

You will translate the needs of our stakeholders into generative and predictive computer vision models, with emphasis on automation, the enablement of novel consumer interaction and business process improvement. You will report into the Global Commercial Head of Data, Analytics & AI.

About the Job

  • Design and deploy novel computer vision solutions that create value for partners
  • Keep up with and apply new methods in computer vision and deep learning to improve new solutions
  • Identify trends and opportunities to inspire creativity, both in what we do and how we do it
  • Document all code and approach; contribute to and re-use community best practices
  • Embody the values and passions that characterize Levi Strauss; have empathy to engage with colleagues from different backgrounds

About You:

  • Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline
  • Experience developing models and algorithms in a commercial environment with experience creating meaningful impact
  • Algorithmic and general programming knowledge
  • Computer vision related experience in classification, segmentation, and generative models
  • Experience with neural networks and deep learning, using one or more frameworks such as TensorFlow, PyTorch, or Keras
  • Simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple partners / departments

Desirable:

  • Experience with cloud computing platforms (AWS, GCP or other), or equivalent on-premise platform
  • Proficiency with data visualization tools (D3.js, R Shiny, Looker, Tableau or similar) desirable
  • Proficiency with Spark or MapReduce
  • Experience working in agile methodology
  • Experience in retail or FMCG

We put a lot of thought into our programs to provide you with a benefits package that matters. Whether it is for medical care, taking time off, improving your health or planning for retirement, we've got you covered. Here's a small snapshot:

  • 401K match: $1.25 for every $1.00 you contribute up to the first 6% of pay you save.
  • Five hours of paid volunteer time per month with nonprofit organizations
  • Product discount of 50% off regular-price merchandise
  • Paid Family Leave

EOE M/F/Disability/Vets

LOCATION

Remote - USA

FULL TIME/PART TIME

Full time

Current LS&Co Employees, apply via your Workday account.

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