Job Location: Multiple (Mexico, Brazil, Bolivia, Chile, Colombia, Peru)
Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We’re a company of people who like to forge our own path and leave the world better than we found it. Who believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.
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 across continents.
As a Senior Data Scientist you will be a technical leader within the global Data, Analytics and AI team, driving the design and delivery of advanced analytics, machine learning, and AI solutions that address our consumers' needs while streamlining our processes and approaching the business in more innovative ways. This role will focus on applications of Data, Analytics, and AI to DTC. Potential areas of application of AI include CLTV, CRM optimization, Segmentation, Recommendations, Personalization and Agentic implementations among others.
In this role, you will own the technical direction of key workstreams, influence the team’s roadmap, and serve as a bridge between data science and business stakeholders across regions. You will drive innovation, machine learning operationalization, adoption of data products, and data visualization / user interfaces / storytelling that put data at the center of our business. This role will aim to drive revenue and reduce cost through cross-region implementation, automation and business process improvement.
You will be expected to raise the technical bar across the team: mentoring Data Scientists, establishing best practices, conducting code and model reviews, and contributing to the global Data, Analytics & AI community by sharing your knowledge and leveraging other colleagues’ experience in designing scalable, global solutions.
