Data Scientist - ML & Time Series PoCs (Hybrid)

Electronic Toll Collection (Pty) Ltd; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Permanent role

Hybrid working model

Flexible working hours

30 business days annual leave

Flexible remuneration plan

Descripción de la vacante

Kapsch is seeking a Data Scientist with experience developing machine learning solutions and analytics models, from experiments to production-ready systems.

You will work closely with Product Owners, Data Engineers, MLOps Engineers, and Data Analysts to transform business challenges into scalable AI solutions and data products. The role includes forecasting and time-series modeling with strong emphasis on end-to-end delivery.

Formación

• 4+ years of experience in data science or ML engineering.
• Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
• Strong background in machine learning.
• Experience managing ML experimentation cycles, model lifecycle, and production maintenance with tools like MLflow.
• Proficiency in Python and SQL.

Responsabilidades

• Design, develop, and validate ML models through iterative experimentation and PoC cycles.
• Work with customers and stakeholders to define use cases, KPIs, and success criteria.
• Develop forecasting, predictive, and analytical models, with a focus on time series.
• Collaborate with Product Owners, Data Engineers, Data Analysts, and MLOps to deliver AI solutions.
• Perform feature engineering, model validation, and performance analysis.
• Build demo-ready PoCs and visualizations to communicate results to stakeholders.
• Track experiments and model evolution using MLflow.
• Work with analytical datasets and define features for ML use cases.
• Contribute to AI/ML solution design and best practices.

Conocimientos

Data Science

Python

SQL

Machine Learning

Time Series

Educación

Bachelor's degree in Data Science/CS/Math

Herramientas

MLflow

Apache Airflow

Pandas

NumPy

SQL

Descripción del empleo

Kapsch is seeking a Data Scientist with experience developing machine learning solutions and analytics models, from experiments to production-ready systems.

You will work closely with Product Owners, Data Engineers, MLOps Engineers, and Data Analysts to transform business challenges into scalable AI solutions and data products. The role includes forecasting and time-series modeling with strong emphasis on end-to-end delivery.