Data Scientist

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 The expected starting salary range for this role is €60,500 - €80,700 Gross per year.

The amount an employee will earn within the salary range will be based on factors such as relevant education, qualifications, performance, and our needs. Salary ranges may vary by location and currency. Where roles are advertised across multiple locations, local ranges will apply.

Levi Strauss & Co. (LS&Co.) offers a total rewards package that includes base pay, paid leave, product discounts, and more designed to help you and your family stay healthy, meet your financial goals, and balance the demands of your work and personal life. Available benefits and incentive compensation vary depending upon the specifics of the role; details relating to a specific role will be made available upon request. about our benefits here.

LS&Co. is an affirmative action and equal employment opportunity employer. We welcome and value people from diverse cultures, backgrounds, and experiences to make LS&Co. a collective success. #LI-Hybrid LOCATION Barcelona, Spain FULL TIME/PART TIME Full time Current LS&Co Employees, apply via your Workday account. Our common thread: We're originals.

From day one, we've been doing it our way - creating our own drumbeat and building something that's different from the rest. That's why we're looking for people who are excited about finding their career fit and transforming the future. Because at Levi Strauss & Co., you can do what you love while staying true to who you are.