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| Job Location | Pune |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Engineering / Construction |
| Functional Area | DBA / Datawarehousing |
| EmploymentType | Full-time |
Reliability Data ScientistTo be successful in this position you need to have experience on reliability modelling and equipment/components lifetime analysis. You have worked in projects to model equipment/components reliability and lifetime. Preferably you also have worked to utilize this data to actual equipment/components maintenance and understand the basics of component failure logic. You need also to have experience and proven record of data analytics and data scientist methods utilizing analytical models. Analytical models utilized are sophisticated mathematic models so experience with Python and other data analytics languages is required. Experience working with Agile software development is plus to be successful in position. Also self-driven capability to continuously analyze existing service analytics KPIs performance for new development is highly valued. The 24/7 Connected Services Development team consists of experts and specialists working with cloud front- and backend development, advanced analytics, data engineering, user experience and end-to-end testing.Skills, Education and Experience: Bachelor or Master s degree in Information technology engineering or similar 5-7 years of experience as a data scientistExperience on reliability and component lifetime modelling Experience on device IoT-data analytics Experience in data analytics and algorithm development using, e.g., Python, R, or MatlabProven experience in software developmentFamiliar with cloud platform development frameworks and knowledge of cloud services and architectureExperience from Agile ways of working, Devops Very good communication skills in EnglishBenefit possible Elevator and escalator industry domain knowledge and work experienceStrong analytical, conceptual thinking and problem solving skillsPassion for great service / customer experienceAt KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.,
Keyskills :
machine learningpythondata analysissqlanalyticsdata analyticsdata engineeringadvanced analyticssoftware developmentplatform developmentalgorithm developmentinformation technologycloudagile