You want to be part of the next step in the evolution of FREE NOW into a global player in the ride hailing industry and the establishment of FREE NOW’s role in the future of autonomous vehicle platforms?
Data science teams at FREE NOW are solving key problems relating to urban transportation. The teams focus on the data behind core challenges in mobility markets including demand prediction, surge pricing and other forecasting analysis required for the upcoming challenges.
As the Lead Data Scientist you will lead these initiatives while growing a team of Data Scientists and Machine Learning Engineers who focus on building and deploying customer facing data products. In addition to challenging machine learning problems, you will also collaborate with the product and supporting data teams on various interesting topics, such as system performance, data infrastructure, ease of development, and data and customer insights.
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:
About FREE NOW
FREE NOW is the multi-service mobility joint venture backed by BMW Group and Daimler AG. Next to ride hailing, FREE NOW also offers micro-mobility services and car sharing. It consists of the services FREE NOW (10 European markets), Βeat (5 Latin American and 1 European market) and hive (e-scooter and e-bikes in 3 European markets). Summed up, those services currently attract 45 million users in 17 markets and more than 150 cities. FREE NOW is therefore the biggest multi-service mobility provider in Europe and the fastest-growing ride-hailer in Latin America. FREE NOW works with various third party providers to offer their customers an even wider range of options to get from A to B. In total, more than 2,200 employees in around 35 offices work for the services of FREE NOW, which is led by CEO Marc Berg.
Diversity & Inclusion At FREE NOW, we commit to being an equal opportunity employer. We consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age.
We celebrate diversity and have a clear vision: to be the place where a diverse mix of talented people want to come, stay and do their best work. Together with passionate, creative and collaborative colleagues, we are following our purpose of making mobility available for everyone.
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