MQ-242 | Senior Data Scientist

Velocity Tech; Madrid; Presencial; EUR 50.000 - 80.000; Jornada completa

Descripción de la vacante

A global data and insights leader is seeking a Senior Data Scientist in Madrid, Spain. In this role, you'll lead transformative initiatives using machine learning and AI techniques, mentor a team of data scientists, and collaborate with engineering teams. Ideal candidates will have strong Python skills and experience with large datasets. Join in shaping data strategies that drive tangible business outcomes.

Formación

• Proven experience in building and deploying machine learning and deep learning models.
• Strong programming skills in Python.
• Experience with large datasets and statistical analysis.

Responsabilidades

• Lead and mentor data scientists, fostering best practices.
• Design, develop, and oversee GenAI, deep learning, and machine learning models.
• Communicate insights effectively through visualizations.

Conocimientos

Machine learning

Deep learning

Python

Statistical analysis

Herramientas

Data science libraries

Descripción del empleo

Velocity Tech has partnered with a global leader in data, insights, and consulting

to support the search for a

Senior Data Scientist . Operating in over 100 countries with more than 25,000 employees, this organization empowers the world’s top brands and retailers through unparalleled datasets, advanced analytics, and AI-driven insights. Their focus spans a wide array of markets including tech, fashion, telecoms, and FMCG—delivering continuous shopper behavior monitoring and tailored solutions that drive smarter decisions and lasting impact.

The Opportunity This role is a chance to lead transformative initiatives at a global scale through cutting-edge data science, machine learning, and AI methodologies.



The successful candidate will play a pivotal role in elevating the efficiency and innovation of global data services, collaborating closely with engineering teams, and helping to shape data strategies that have tangible business outcomes.

Key Responsibilities Lead and mentor data scientists, fostering best practices and collaborative team dynamics. Design, develop, and oversee GenAI, deep learning, and machine learning models. Work cross-functionally with engineering to deploy and integrate ML algorithms into scalable systems. Write clean, maintainable, production-ready code with clear documentation. Experiment with and apply new ML methods to large-scale datasets. Communicate insights effectively through visualizations and structured reporting to internal stakeholders. Consult with internal teams to solve business challenges and provide data-driven recommendations. Own critical projects end-to-end, ensuring high standards and continuous improvement. Identify opportunities to optimize and expand the impact of existing data solutions.





What They’re Looking For Proven experience in building and deploying machine learning and deep learning models. Strong programming skills, ideally in Python, and familiarity with modern data science tools and libraries. Experience working with large datasets and applying statistical analysis to real-world business problems. Ability to communicate complex findings clearly and effectively to both technical and non-technical audiences. A proactive, collaborative mindset with a passion for innovation and excellence.