Data Scientist

Kapsch TrafficCom AG; La Moraleja; Híbrido; EUR 65.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model (3 days remote)

Flexible working hours

30 business days annual leave

Descripción de la vacante

Kapsch TrafficCom AG is seeking a Data Scientist to design, implement, and productionize machine learning models. You will work with product owners, data engineers, and MLOps teams to transform complex business challenges into scalable AI solutions across analytics and forecasting use cases.

The role emphasizes experimentation, PoC delivery, and close collaboration with stakeholders in an Agile environment. Hybrid work, flexible hours, and substantial annual leave are offered.

Formación

• 4+ years of experience in data science, ML engineering, or similar
• Degree in Data Science, Computer Science, Mathematics, Statistics, or related field
• Strong background in machine learning and model lifecycle management
• Proficiency in Python and SQL, with experience in analytics databases and large datasets
• Familiarity with orchestration tools like Apache Airflow and experimentation workflows
• Excellent English communication, written and spoken

Responsabilidades

• Design, develop, and validate ML models with iterative experimentation and PoCs.
• Collaborate with Product Owner, Data Engineers, and MLOps to deploy AI solutions.
• Develop forecasting and time-series models with a focus on business impact.
• Perform feature engineering and model evaluation, track evolution with MLflow.
• Create demos and visualizations to communicate insights to stakeholders.

Conocimientos

Machine learning

Time series analysis

Python

SQL

Experimentation

English communication

Educación

Data Science degree

Herramientas

MLflow

Apache Airflow

Descripción del empleo

Kapsch 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.Role PurposeWe 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.How You'll Make an ImpactDesign, 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 Makes You a Great Fit4+ 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 to YouPermanent role.Hybrid working model (3 days of remote work/week).Flexible working hours.30 business days of annual leave.Flexible remuneration plan.