Hybrid Data Scientist - Time Series & Production ML

Kapsch Group; Madrid; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model (3 days remote)

Flexible working hours

30 business days annual leave

Flexible remuneration plan

Descripción de la vacante

Kapsch Group in Madrid seeks a Data Scientist with experience building ML solutions from experimentation to production. You will collaborate with Product Owners, Data Engineers, and MLOps to translate business challenges into scalable AI products.

You will design forecasting and analytical models, perform feature engineering, track experiments with MLflow, and communicate results to stakeholders. A strong Python/SQL background and agile mindset are essential, with 4+ years in similar roles and

Formación

• 4+ years of experience in a data science / ML role.
• Degree in Data Science, CS, Math, Statistics, Engineering, or related field.
• Strong background in machine learning.
• Experience managing ML experimentation cycles and production models (MLflow or similar).
• Proficiency in Python and SQL.
• Experience with analytical databases and large datasets.
• Familiarity with orchestration tools such as Apache Airflow.
• Strong English communication skills.

Responsabilidades

• Design, develop, and validate machine learning 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 focus on time series.
• Collaborate with Product Owners, Data Engineers, Analysts, and MLOps to deliver AI/ML solutions.
• Perform feature engineering, model validation, and performance analysis.
• Build demo-ready PoCs and visualizations to communicate results.
• Track experiments, metrics, and model evolution using MLflow.
• Define datasets and features for ML use cases.
• Contribute to technical standards and AI/ML solution design.

Conocimientos

Python

SQL

MLflow

Apache Airflow

Agile

Data analysis

English communication

Educación

Bachelor's or higher in Data Science / CS / Math / Statistics / Engineering

Herramientas

MLflow

Apache Airflow

Descripción del empleo

Kapsch Group in Madrid seeks a Data Scientist with experience building ML solutions from experimentation to production. You will collaborate with Product Owners, Data Engineers, and MLOps to translate business challenges into scalable AI products.

You will design forecasting and analytical models, perform feature engineering, track experiments with MLflow, and communicate results to stakeholders. A strong Python/SQL background and agile mindset are essential, with 4+ years in similar roles and