Your contribution to something big :
As data mining team, we are set up with different roles of big data architect, junior / senior data scientist as well as technical experts and project management.
Projects are handled by us holistically and include data sourcing, pre-processing, exploratory data analysis, modeling, implementation of data logic, selection of algorithms and ML methods / prediction techniques up to visualization.
The goal is to improve automotive aftermarket products as well as make internal development processes more efficient.
In this position, you will :
Help shape the future : utilize your knowledge in analytical, statistical, and programming skills, for logistics forecasting.
Conscientious coordination : analyze technological details and derive solutions in the context of technical feasibility, priorities and business relevance.
Take responsibility : take responsibility in the design, development and execution of complex analytics solutions.
Reliable implementation : identify new methods in the field of artificial intelligence, analytics and predictive modeling to ensure the business impact.
In addition, you will be responsible for the integration of the solution into the existing real life business process.
Experience cooperation : develop and integrate solutions into productive systems / processes to increase efficiency and leverage existing business potential.
Think holistically : deploy analytical solutions as productive services using distributed computing on Big Data Platforms like Hadoop, Azure, AWS.
What distinguishes you :
Master's or PhD degree in computer science, mathematics, engineering or comparable qualification.
Pro-active, dynamic and self-reliant, goal-oriented attitude with problem solving skills.
Team player for efficient collaborative in agile working style like Scrum.
Experience with Big Data technologies (e.g. Spark, Hive, Impala, Sqoop and Oozie) and relational databases.
Programming / application experience in common tools for Data Mining, Machine Learning and visualization (e.g. : Scala, R, Java, Python, Tableau, PowerBI, TensorFlow), 3+ years of professional experience in methods like regression, clustering or classification (e.
g. neural networks, time series analysis, ...).
Very good written and spoken skills in English.