Levi Strauss & Co
Apparel
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Levi Strauss & Co. Skills: Data Science, Machine Learning, AI, Analytics. Develop analytical solutions. Develop production-ready models”
What You'll Achieve.
Drive revenue; Reduce cost
Industry & Context.
Analytical solutions
What They're Looking For.
Must Have
Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline, 7 to 10 years of experience in developing models and algorithms in a commercial environment, Strong SQL proficiency, Strong Python skills proficiency, Proficiency with Spark, Expertise in standard software engineering methodology, Experience working in agile methodology, Expertise in multivariate statistical modelling required, Expertise in machine learning required, Experience with cloud computing platforms
Nice to Have
Python skills proficiency in at least one open-source programming language desirable, Prior experience in retail or FMCG, PhD preferred
What You'll Do.
Develop analytical solutions
Develop production-ready models
Solve pricing and promotions problems
Apply advanced analytics
Apply machine learning
Derive business value from data sets
Leverage Cloud-based technology
Collaborate on development of pricing elasticity modeling
Collaborate on pricing recommendations
Collaborate on promotional campaigns optimization
Collaborate on discounts recommendations
Translate complex data into insights
Translate complex methodology into insights
Provide strategic recommendations
Provide operationally feasible recommendations
Communicate clearly to technical audiences
Communicate clearly to non-technical audiences
Identify opportunities
Contribute to community best practices
Re-use community best practices
Coordinate and track multiple deliverables
Coordinate and track multiple tasks
Coordinate and track multiple dependencies
How You'll Work.
Team & Collaboration
Cross-functional stakeholders; Global Data, Analytics & AI community; Colleagues from wide variety of backgrounds
Communication Scope
Verbal communication; Visual communication
Process & Methodology
Agile methodology
Full Job Description
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. **Summary of the role:** 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 Americas business and at the same time be part of a bigger, across-continents, data science community. As a Data Scientist you will be a key part of the Data, Analytics and AI team and will create advanced analytics, machine learning, and AI solutions to better address our consumers’ needs while streamlining our processes and approaching the business in more innovative ways. In this role, you will translate the needs of our cross-functional stakeholders into predictive models and actionable insights that will drive revenue and/or reduce cost, with emphasis on automation and business process improvement. You will contribute to the global Data, Analytics & AI community, share your knowledge and leverage other colleagues’ experience. **About the Role:** * Develop analytical solutions / production-ready models that solve pricing and promotions problems, taking account of business needs and technology/operations landscape * Apply advanced analytics, machine learning, and AI techniques to derive business value from the full range of internal and external data sets
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