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You will be updated with latest job alerts via emailAs a Data Scientist you will leverage your statistical analysis and machine learning expertise to develop predictive maintenance models. You will collect and preprocess relevant data build train and productize machine learning models and collaborate with crossfunctional teams to translate them into product features and actionable recommendations. Your ability to understand complex data patterns extract meaningful insights and communicate findings effectively will be vital for the success of our predictive maintenance initiatives.
Research develop and implement algorithms for predictive maintenance and produce findings on our data that support features all across our products.
Bonus Points
We will send you a code test for you to work offline. The team members will review it and it will trigger the technical interview if good assessment is made.
References may be required at any stage of the recruitment process.
Stratio is the Worlds Leading Realtime Predictive Fleet Maintenance Platform. The companys proprietary technology combines largescale processing with the latest machine learning techniques to prevent hundreds of thousands of breakdowns from happening every day thus saving millions of people from the hassle of public transportation delays postponed deliveries or late arrival of essential goods.
Stratios platform enables zero downtime for 5 of the 10 largest transportation companies in the world and in 2021 raised an investment of $12 million to boost leadership in predictive fleet maintenance. Fleet operators in Europe North America Asiapacific and Latin America trust Stratios technology to fully leverage the data under the hood to safeguard operations and keep customers happy. Stratios technology has enabled transportation for 1.3 billion people so far.
We want inspiring individuals in our teams where age race gender sexual orientation politics and religion do not matter and seek to create a tolerant and open space for everyone. We thrive to provide an inclusive and trustworthy environment.
You can find our Culture Manifesto and more team information here.
Take the road with us!
Full Time