Data Scientist

Kapsch Trafficcom Transportation SA.; Madrid; Híbrido; EUR 42.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model

30 days annual leave

Flexible working hours

Descripción de la vacante

Kapsch Trafficcom Transportation SA in Madrid is seeking a Data Scientist to develop machine learning solutions from experimentation to production-ready models. You will collaborate with the Product Owner, Data Engineers, MLOps Engineers, and Data Analysts to translate business challenges into scalable AI products.

You’ll design forecasting, predictive and analytical models with emphasis on time-series use cases, and work with MLflow, Python, SQL, and data platforms.

Formación

• 4+ years of experience as a Data Scientist or similar role.
• Degree in Data Science, CS, Math, Statistics, Engineering, or related field.
• Strong background in machine learning.
• Experience managing ML experimentation cycles, model lifecycle, and production model maintenance using MLflow or similar.
• Proficiency in Python and SQL.
• Experience with analytical databases and large datasets.
• Familiarity with orchestration tools such as Apache Airflow and notebook-based experimentation workflows.
• Strong English communication skills, both written and spoken.
• Experience working in Agile environments.

Responsabilidades

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

Conocimientos

Python

English communication

Analytical mindset

Agile

Educación

Degree in Data Science, Computer Science, Mathematics, Statistics, or Engineering

Herramientas

MLflow

Apache Airflow

SQL

Descripción del empleo

# **Data Scientist** Madrid Full timeApply for this JobApply for this JobYour Contact **Magdalena Gid**Share this Job### Data Scientist* Madrid* Full timeApply for this JobApply for this JobKapsch is one of Austria's most successful global technology companies. With its comprehensive ITS (Intelligent Transportation Systems) portfolio, Kapsch is actively addressing the challenges of the present and the future with intelligent mobility solutions in a wide range of application areas. As a family-owned company founded in 1892 and headquartered in Vienna, Kapsch can look back on 130 years of experience with the future. To learn more about our solutions and innovations, visit our website here.We are looking for a Data Scientist with experience developing machine learning solutions and analytical models, from experimentation to validated production-ready models. You will work closely with the Product Owner, Data Engineers, MLOps Engineers, and Data Analysts to transform business challenges into scalable AI solutions and data products.**What you’ll do*** Design, develop, and validate machine learning models through iterative experimentation and PoC cycles.* Work directly with customers and stakeholders to understand business problems, define use cases, KPIs, and success criteria.* Develop forecasting, predictive, and analytical models, with strong focus on time series use cases.* Collaborate closely with Product Owners, Data Engineers, Data Analysts, and MLOps Engineers to deliver AI and ML solutions efficiently.* Perform feature engineering, model validation, and model performance analysis.* Build demo-ready PoCs and visualizations to communicate results and insights to stakeholders.* Track experiments, metrics, and model evolution using MLflow.* Work with analytical datasets and contribute to the definition of datasets and features for ML use cases.* Contribute to technical standards, best practices, and AI/ML solution design.**What we’re looking for*** 4+ years of experience as a Data Scientist, ML Engineer, or similar role focused on analytical and ML solutions.* 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 model maintenance, using tools such as MLflow or similar.* Proficiency in Python and experience working with SQL.* Experience working with analytical databases and large datasets.* Familiarity with orchestration tools such as Apache Airflow and notebook-based experimentation workflows.* Strong English communication skills, both written and spoken.* Analytical mindset, fast learner, collaborative attitude, and customer-oriented approach.* Experience working in Agile environments.**Our offer*** Permanent role.* Hybrid working model (3 days of remote work/week).* Flexible working hours.* 30 business days of annual leave.* Flexible remuneration plan.Back to overview Back to overviewApply for this JobApply for this Job