Data Scientist – Job Description
SCRM – LIDL Digital Hub
About the role

Gather requirements and translate them into actionable data science projects.

Explore and propose state‑of‑the‑art technologies, methodologies, and models.

Develop and deploy production‑ready data‑driven solutions alongside the team.

Ready to be part of the challenge?

What you’ll bring

3+ years of hands‑on experience working with Deep Learning models.

5+ years of professional experience in Data Science or a closely related field.

Bachelor’s or Master’s degree in Physics, Computer Science, Mathematics, or a related quantitative field.

Experience developing machine learning solutions beyond experimentation, including their application to real‑world problems.

In this Role

Design, develop, and deploy robust solutions into production.

Translate business needs into actionable data science solutions.

Explore and apply state‑of‑the‑art machine learning and deep learning approaches.

Communicate results clearly and identify new opportunities to create business impact through data.





Technical Skills: Programming Languages (Required)

Python and SQL.

Advanced Python proficiency (Required): Numpy, Pandas, Scipy, Scikit‑learn, deep learning frameworks (preferably PyTorch or TensorFlow), and visualization libraries.

Advanced Python proficiency (Preferred): CPU and memory profiling, multiprocessing, Joblib, Numba, etc.

Systems Knowledge (Required)

Git, SQL, NoSQL, and Spark (PySpark).

Systems Knowledge (Preferred)

Cloud platforms (preferably GCP), distributed systems, and ETL processes.

Extra Points

You are curious, proactive, and committed to continuous learning.

You collaborate effectively with technical and business stakeholders.

You approach problems with creativity, critical thinking, and a practical mindset.

You communicate complex ideas clearly and enjoy sharing knowledge with others.

You take ownership, adapt quickly to change, and work comfortably in Agile environments.

About

📌 Data Scientist (Madrid)
🏢 SCRM - Lidl International Hub
📍 Madrid