Data Scientist
Descripción del puesto
Empresa: Levi Strauss & Co
Provincia: Barcelona
Población:
Descripción: As part of the Data, Analytics and AI team, you build production-ready analytics and ML models to optimize pricing, promotions, and business processes. You’ll translate stakeholder needs into predictive insights that drive revenue and cut costs, while collaborating across functions and sharing best practices. You’ll tackle automation, scalability, and data-driven optimization in a global fashion company. This role offers the chance to shape analytical solutions in a high-impact retail environment and work with cloud-based technologies.
Compensaciones / Beneficios
base pay
paid leave
product discounts
total rewards package
hybrid work model
benefits details upon request
Responsabilidades
Develop production-ready analytical solutions for pricing and promotions problems
Apply advanced analytics, ML, and AI techniques across internal and external data sets using cloud tech
Collaborate on pricing elasticity modeling, pricing recommendations, and promotions optimization
Translate complex data and methodologies into actionable insights and recommendations
Communicate results clearly to both technical and non-technical audiences
Identify trends to drive innovation and improvements in processes
Document code and contribute to community best practices
Collaborate with cross-functional teams and embrace Levi’s values
Requisitos principales
Strong SQL and Python skills
Experience with multivariate statistical modeling and ML techniques (e.g., random forests, boosting, time-series forecasting, Bayesian methods)
Experience with cloud platforms (GCP, AWS)
Ability to manage multiple deliverables across stakeholders
Experience in commercial environments with business impact
Tecnologías: Python, SQL
Tipo de Contrato: Indefinido
Salario: Sin especificar
Experiencia: 3 años
Funciones: Analista - Big Data
Descubre más: https://www.tecnoempleo.com/data-scientist/python-sql/rf-e35b1d3be2da3392f445
Información complementaria
- Categoría
- Non classé
- Referencia
- —
- Fuente
- Tecnoempleo Barcelona
- Publicado el
- 09/09/2026