Working Student

**LOCATION**:
**Kematen** / Austria |
**BRAND**: IFE |
**REQUISITION ID**:
**2704**

IFE is the worldwide leading manufacturer of automatic entrance systems for railway vehicles. Wouldn’t it be great to play an active part in shaping the future of mobility?

We are an innovative company and use data from our door systems on railroad vehicles to predict future failures using Big Data analytics in the cloud. For this purpose we are looking for someone to expand our team for data analysis and development of algorithms for Condition Based Maintenance (CBM).

**YOUR TASKS**
- ANALYZE... exciting data in a professional Big Data environment in the cloud.
- IDENTIFICATION... of anomalies
- DEVELOPMENT... of features for machine learning algorithms
- DATA ENGINEERING... in the context of a professional pipeline for data preparation
- COOPERATION... in an interdisciplinary team and with customers

**YOUR PROFILE**
- knowledge in R, Python
- experience with SPARK (DATABRICKS) advantageous
- technical understanding
- ability to work in a team
- independent working
- very good knowledge of German and English

**WHAT WE OFFER**

Continuous innovation pushes the technological progress of our automatic entrance systems, which are geared towards quality, safety and reliability, and distinguishes us as an internationally reliable partner.

We offer you an exciting and varied job in an international environment as well as an attractive set of benefits. These range from flexible working time models through professional and personal development opportunities to sports and health care programmes.

The minimum salary for this position is EUR 2.566,17 gross per month on a full-time basis.

**ARE YOU INTERESTED?