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. 

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 Job 

• 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, leveraging Cloud-based technology

• Actively collaborate on the development of pricing elasticity modeling, pricing recommendations, promotional campaigns optimization and discounts recommendations

• Translate complex data and methodology into strategic, operationally feasible insights and recommendations

• Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in

• Identify trends and opportunities to drive innovation, both in what we do and how we do it

• Document all code and approach; actively contribute to and re-use community best practices

• Be a great team player who embodies the values and passions that characterize Levi Strauss; have empathy to engage with colleagues from a wide variety of backgrounds

About You 

• Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or an equivalent discipline required

• Experience in developing models and algorithms in a commercial environment with a track record of creating meaningful business impact

• Strong SQL and Python skills required; proficiency in at least one open-source programming language desirable

• Expertise in multivariate statistical modelling (e.g. clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and machine learning (Random Forest, KNN, SVM, boosting and bagging, regularization etc.) required

• Experience with cloud computing platforms (GCP, AWS or other)

• Ability to simultaneously coordinate and track multiple deliverables, tasks and dependencies across multiple stakeholders / business areas

Desirable:

• Proficiency with data visualization tools (Looker, Streamlit, Tableau or similar)

• Experience with native ML orchestration systems such as Kubeflow, Vertex AI Pipelines, Airflow

• Proficiency with Spark

• Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, continuous deployment, code reviews, design documentation

• Experience implementing and optimizing Large Language Models (LLMs) for business applications

• Experience working in agile methodology

• Prior experience in retail or FMCG