Customer-Facing Data Scientist: ML & Analytics Lead

Matrix Eastern Europe; Madrid; Vor Ort; EUR 52.000 - 78.000; Vollzeit

Zusammenfassung

Matrix Eastern Europe is seeking a highly motivated Data Scientist to join our growing team. You will work on large-scale datasets, develop advanced analytical models, and collaborate with product, engineering, and business stakeholders to drive measurable impact.

This role blends advanced analytics, machine learning, and business problem-solving to deliver scalable solutions for customer implementations and production deployments.

Qualifikationen

• Strong analytical and problem-solving abilities with data-driven decision making.
• Solid foundation in statistics and modeling techniques for ML projects.
• Excellent communication skills to convey complex concepts to varied audiences.

Aufgaben

• Design and implement data science solutions throughout the project lifecycle.
• Analyze large datasets to identify trends, anomalies, and insights.
• Develop and optimize machine learning models and analytics workflows.
• Perform feature engineering and data preparation for predictive modeling initiatives.
• Collaborate with Product, Engineering, and Customer Success to translate business needs into solutions.
• Lead data science aspects of customer implementations and deployments.
• Build strong technical relationships with customers and external partners.
• Provide recommendations to improve products and analytics capabilities.
• Deliver training and knowledge transfer to end users and stakeholders.
• Support investigation and resolution of data-related challenges.

Kenntnisse

Analytical thinking

Statistical modeling

Communication

Ausbildung

Bachelor’s degree in Data Science/CS/Math/Statistics/Economics

Tools

Python

PySpark

MLflow

Airflow

Jobbeschreibung

Matrix Eastern Europe is seeking a highly motivated Data Scientist to join our growing team. You will work on large-scale datasets, develop advanced analytical models, and collaborate with product, engineering, and business stakeholders to drive measurable impact.

This role blends advanced analytics, machine learning, and business problem-solving to deliver scalable solutions for customer implementations and production deployments.