Experienced Data Scientist - One Recommendation (m/f/d)
MEDIA MARKT ESPAÑA
Barcelona
Presencial
EUR 40.000 - 60.000
Jornada completa
Hace 12 días
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Descripción de la vacante
Una empresa líder en electrónica de consumo busca un miembro valioso para su equipo de Recomendaciones en Barcelona. El candidato ideal será responsable de construir robustos pipelines de ML y colaborar en el desarrollo de sistemas que mejorar la experiencia del usuario. A cambio, la empresa ofrece un ambiente joven y dinámico, beneficios como descuentos en productos, flexibilidad horaria y programas de desarrollo profesional.
Servicios
Descuento del 10% en la página web de MediaMarkt
Presupuestos para capacitación profesional
Clases de idiomas (inglés, español y alemán)
Cumpleaños libre
Posibilidad de trabajo flexible
Formación
Experiencia en construcción y evaluación de sistemas de recomendación y algoritmos de clasificación.
Fuerte capacidad analítica y comprensión de sistemas de datos transaccionales y analíticos.
Familiaridad con herramientas de orquestación y procesos de CI/CD.
Responsabilidades
Construir y mantener pipelines de ML para experimentación y monitoreo de modelos.
Colaborar en el desarrollo de sistemas de recomendación y algoritmos de clasificación.
Escribir código Python escalable y listo para producción.
Conocimientos
Python
MLOps
SQL
TensorFlow
PyTorch
Airflow
Análisis de datos
Educación
Título en Ciencias de la Computación, Ciencia de Datos o campo cuantitativo relacionado
Herramientas
Terraform
BigQuery
Snowflake
MySQL
Descripción del empleo
Your Tasks
As a valuable member of our Recommendations team, you will help shape the intelligence behind our personalization strategy. You'll build robust ML pipelines, develop and evaluate recommender systems, and ensure models are production-ready and continuously improving. Your role spans across experimentation design, feature engineering, code optimization, and cross-functional collaboration and therefore, enabling impactful, scalable solutions that enhance user experience and drive measurable outcomes.
Your Tasks
Build and maintain ML pipelines for experimentation, CI/CD, validation, and monitoring of models in both development and production
Collaborate on the development of recommender systems and ranking algorithms tailored to specific product use-cases (e.g., Home, Cart, PDP)
Write scalable, production-ready Python code with maintainable architecture and sound software engineering practices
Design and manage data workflows using advanced SQL for ETL, feature engineering, and model input preparation
Debug, refactor, and improve codebases for performance, observability, and reliability
Contribute to experiment design and A/B testing pipelines to measure impact of models in live environments
Provide technical mentorship and advocate for best practices in ML engineering and data science
Your Profile
Degree in Computer Science, Data Science, or a related quantitative field
Proficient in Python and experienced with ML frameworks such as TensorFlow, PyTorch, and TensorFlow Recommenders
Experience with building and evaluating recommendation systems, ranking models, or personalization algorithms
Solid grasp of both transactional and analytical data systems (MySQL, BigQuery, Snowflake, etc.)
Familiar with orchestration tools like Airflow, and MLOps pipelines on GCP
Hands-on experience with CI/CD tooling and infrastructure-as-code (e.g., Terraform)
Analytical mindset with a working understanding of experimentation and model evaluation in production settings
Comfortable working in cross-functional teams and communicating with stakeholders
About Us
MediaMarktSaturn is Europe’s leading consumer electronics retailer. It sees itself as a partner, daily companion and navigator for its customers in the digital world. Its over 1,000 MediaMarkt and Saturn stores are closely integrated with their online shops. MediaMarktSaturn has a total headcount of more than 60,000.
MediaMarktSaturn Technology is working on making Europe's number one consumer electronics retailer the technology leader in its sector. To this end, several hundred developers, UX designers and system architects using state-of-the-art technology work hand in hand with business owners in agile teams to develop customer-focused technology solutions for more than 6 million customers every day in 11 countries.
Technology Hub located in Barcelona, is one of the service units of MediaMarktSaturn Technology to deliver adequate staffing and engineering skills for the agreed deliveries of the global deployment plan for the entire group.
Additional Benefits
Young environment, where not everything is written in stone, and where you are expected to contribute and co-create the culture of the Tech Hub and international collaboration model
You'll have a 10% discount on the entire MediaMarkt website, so you can treat yourself at a lower price whenever you want!
On top of your compensation package, you can request Flexible Pay “MediaFlex program” (a.e. Ticket Restaurant, Private Health Insurance with SegurCaixa Adeslas, …)
Flexible working time and possibility to combine home office / presential working. Intensive workday every Friday and during summer
The possibility to choose between 2 offices: The first one is the MediaMarkt Iberia HQ with a very attractive menu at a price. You'll eat for less than €4! And the second office is located at Pier01, in Barceloneta, right in the center of Barcelona. Free coffee and free fruit once a week
If you need a VISA, don't worry, we'll assist you with the visa process and accompany you throughout the entire process!
There is a training budgetso you can continue developing the skills you need most to keep growing professionally and personally!
We offer language classes: English, Spanish, and German
On your birthday, you won't work! It's a day for you to enjoy without thinking about work
You'll be working with the most cutting-edge technological stack of the moment
Job Infos
?Location:Barcelona, El Prat De Llobregat
Media Markt Saturn Th Services Barcelona
Department:HQ - IT
Entrylevel:Professional Level
Type of Employement:Full Time
Working Hours:40
Persona:Job Requisition Tech Employee
Recruiter:Angela Paredes
Recruiter:Angela Evelyn Paredes Huanca
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