Levi Strauss & Co

Apparel

DataScientist

$1–1k Bengaluru, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Apparel
Problems you'll solve

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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