Senior Data Scientist



We are a global leader in the elevator and escalator industry. At KONE, we make people's journeys safe, convenient and reliable, in taller, smarter buildings.

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o As a data scientist one needs to have experience and proven record of data analytics and data scientist methods in building analytical and probabilistic models

o Candidate should have experience in working with Agile methodology.

o Perform detailed analysis of equipment reliability, identifying gaps between current performance and business requirements and/or world class benchmarks, to identify and focus in specific reliability improvement activities that will deliver enhanced performance

o He should be flexible to adapt and learn new technologies as per the requirement of the project and upskill himself regularly.

o Experience on reliability and component lifetime modelling

o Experience on device IoT-data analytics

o Experience in data analytics and algorithm development using, e.g., Python, R, or Matlab

o Proven experience in software development

o Familiar with cloud platform development frameworks and knowledge of cloud services and architecture

o Experience from Agile ways of working, Devops

o Very good communication skills in English

o Benefit possible Elevator and escalator industry domain knowledge and work experience.

o Strong analytical, conceptual thinking and problem-solving skills

o Passion for great service / customer experience

o Candidate should be conversant with Generative AI tools and adapt to new technologies quickly

· Education & Experience:

o Bachelor or master’s degree in Information technology engineering or similar with strong statistical background

o 5-7 years of experience as a data scientist

· Technical skills:

o Strong knowledge in Statistics, Data Management, SQL, NoSQL, R and Python with experience in all the libraries suitable for data processing and analytics

o Candidate should have experience in Reliability field and methods like Life Data Analysis, Reliability Centered Maintenance, Availability, Maintainabilty, Residual Life, MTTF calculations , Survival Analysis

o Candidate should have experience in AWS or any other cloud service with strong background on AWS Cloud Formation, Data Pipeline, Kinesis, Kafka, Athena, Sagemaker etc. AWS ML Certification would be an added advantage.

o Familiar with cloud platform development frameworks and knowledge of cloud services and architecture

o DevOps/MLOps and agile ways of working experience

· Advantages:

o Experience with large scale automated decision making/analytics systems

o Experience with Spark, TensorFlow, Keras, Pytorch, streaming analytics solutions in general, and other related solutions

o Should have strong knowledge in MLflow or any equivalent CI/CD ML pipelines, Experience with ML-Ops is an added advantage

o Strong analytical, conceptual thinking and problem-solving skills

o Passion for great service / customer experience

At 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.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture Athena AWS CI/CD CX Data analysis Data Analytics Data management DevOps Engineering Kafka Keras Kinesis Machine Learning Matlab MLFlow MLOps NoSQL Pipelines Python PyTorch R SageMaker Spark SQL Statistics Streaming TensorFlow

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: India
Job stats:  14  1  0
Category: Data Science Jobs

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