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Experienced Data Scientist - One Recommendation (m / f / d)

Experienced Data Scientist - One Recommendation (m / f / d)

MediaMarkt EspañaBarcelona, Cataluña, España
Hace 10 días
Descripción del trabajo

Experienced Data Scientist - One Recommendation (m / f / d)

Join to apply for the Experienced Data Scientist - One Recommendation (m / f / d) role at MediaMarkt España

Experienced Data Scientist - One Recommendation (m / f / d)

Join to apply for the Experienced Data Scientist - One Recommendation (m / f / d) role at MediaMarkt España

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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

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 budget so 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

    Seniority level

    Seniority level

    Mid-Senior level

    Employment type

    Employment type

    Full-time

    Job function

    Job function

    Engineering and Information Technology

    Industries

    Retail

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