mytaxi is building up a data science team that is solving key problems relating to urban transportation. Therefore, we are keen on hiring a Data Science Lead (m/f) for defining, implementing and leading the structures and capabilities that are necessary for mytaxi to predict the future.
Your role:
- You will be disciplinarily and professionally responsible for a team of Data Scientists
- You motivate your team by proactively and transparently lead them through the dynamic challenges of the mobility markets of the future
- You will identify, understand, structure and solve complex problems in the prediction of demands and supplies in the fast-moving world of urban mobility
- Develop production ready prediction tools used in a variety of processes to help move drivers and passengers through cities more efficiently
- You report to the Head of Data in the definition of processes and models for a deep understanding of data in a growing variety of market environments leading to the projection of future developments
- You will work closely with various stakeholders across Europe from Product, Tech, BI and Data Engineering Teams
Your profile:
You are a problem solver, detail-oriented and self-motivated who thrives in a fast-paced, highly dynamic environment, combining technical, product, business and leadership perspectives. Further key aspects of your profile are:
- Experiences in leadership of tech-oriented teams
- Your love to numbers in combination with your excellent communication skills enable you to transport complex messages in simple words
- You hold profound experience in machine learning, statistical analysis and predictive modelling in business environments
- Experienced in manipulating big data sets and working in the environment of large and complex data structures
- You are an empathic communicator and can motivate your team
- Your passion about implementing advanced analytics and the will to play an essential role in the future of urban transport, make you a perfect fit
- Fluent Proficiency in Business English