About the job

We are seeking a highly motivated Data Scientist to join our growing team and help deliver innovative machine learning and analytics solutions for complex business challenges. In this customer-facing role, you will work with large-scale datasets, develop advanced analytical models, and collaborate cross-functionally with product, engineering, and business stakeholders to drive measurable impact.
This role is adecuado for a data scientist who enjoys combining advanced analytics, machine learning, and business problem-solving to create impactful, scalable solutions.

Responsibilities

• Design and implement data science solutions throughout the project lifecycle.
• Analyze large and complex datasets to identify trends, anomalies, and actionable insights.
• Develop and optimize machine learning models and advanced analytics workflows.
• Perform feature engineering and data preparation for predictive modeling initiatives.
• Collaborate with Product, Engineering, and Customer Success teams to translate business requirements into technical solutions.




• Lead the data science aspects of customer implementations, pilots, and production deployments.
• Build strong technical relationships with customers and external partners.
• Provide recommendations to improve products, algorithms, and analytical capabilities.
• Deliver training and knowledge transfer to end users and stakeholders.
• Support investigation and resolution of data-related and analytical challenges.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Economics, or a related quantitative field.
• 2+ years of experience in Data Science, Data Engineering, Machine Learning, or Big Data development.
• Strong programming skills in Python and experience with PySpark.
• Hands-on experience working with large-scale data processing frameworks and machine learning pipelines.
• Experience with ML lifecycle and workflow management tools such as MLflow, Airflow, or simila

📌 Data Scientist (Madrid)
🏢 Matrix Eastern Europe
📍 Madrid