Data Scientist: Impactful Analytics & Global Growth

QuantumBlack, AI by McKinsey; Madrid; Vor Ort; EUR 60.000 - 95.000; Vollzeit

Zusammenfassung

QuantumBlack, AI by McKinsey seeks a data-driven professional to partner with clients and interdisciplinary teams in Madrid or Lisbon. You will develop impactful analytics solutions, optimize code, and translate business challenges into robust models using advanced ML and data mining techniques.

You will work with data scientists, engineers, and product managers across regions, contributing to R&D, software tooling, and real-world implementation to improve client outcomes.

Qualifikationen

• Advanced degree in a relevant field with strong ML background.
• Experience applying ML to real-world data at scale.
• Proficiency with Python, PySpark, SQL, and cloud platforms.
• Ability to prototype statistical models and translate to business solutions.
• Strong communication skills and ability to present complex analytics clearly.
• Willingness to travel.
• Fluent in English and Spanish or Portuguese.

Aufgaben

• Collaborate with clients and interdisciplinary teams to develop analytics solutions.
• Optimize code and contribute to R&D and conferences.
• Translate business problems into analytical challenges and build models.
• Develop internal tools and contribute to knowledge sharing.
• Work with data scientists, data engineers, ML engineers, designers, and PMs globally.

Kenntnisse

Analytical aptitude

Time management

Presentation skills

Communication skills

Willingness to travel

Ausbildung

Bachelor's/Master's/PhD in CS/ML/Statistics/Math/Engineering/AI

Fluent in English and Spanish or Portuguese

Tools

Python

PySpark

SQL

Docker

Kubernetes

Databricks

Airflow

Kedro

Cloud (AWS/GCP/Azure)

Dask/RAPIDS

Jobbeschreibung

QuantumBlack, AI by McKinsey seeks a data-driven professional to partner with clients and interdisciplinary teams in Madrid or Lisbon. You will develop impactful analytics solutions, optimize code, and translate business challenges into robust models using advanced ML and data mining techniques.

You will work with data scientists, engineers, and product managers across regions, contributing to R&D, software tooling, and real-world implementation to improve client outcomes.