Position: Senior Data Science Engineer
Company: GlobalLogic
Experience required: 2y
English level: intermediate

**Job Description**
4-6 year experience
Azure knowledge 2 + years
Experienced Data Science projects 2+ years (advantage if in IoT/Industry 4.0 area)
Experience with Python for data science and corresponding libraries (e.g. Pandas, Numpy, SK-learn)
Experience with Timeseries data and TS analysis is advantageous
Experience with database languages (SQL,KQL), experience with Azure Data Explorer is advantageous
Knowledge of TensorFlow and Azure knowledge is of advantage, especially experience with data science tools in Azure and Azure Machine Learning, Databricks, Azure Data Explorer
Ideally experienced with PowerBi

**Job Responsibilities**
Development of new analytics use cases around elevators based on ComStack/ ElevateMe data
Visualize, assess and improve data quality, create training and test data sets from collected data
Develop state of the art machine learning models and implement them in the cloud
Support in extending our model training pipeline and automate machine learning operations on the cloud
Department/Project Description
Schindler was founded in 1874 in Lucerne, Switzerland, and is one of the world’s leading providers of elevators, escalators, and moving walks, as well as maintenance and modernization services. The Group has over 1 000 branch offices in more than 100 countries, as well as production sites and research and development facilities in the US, Brazil, Europe, China, and India.

Keyskills
Tensorflow Databricks Machine Learning