Data Scientist – Predictive Maintenance

Data Scientist – Predictive Maintenance

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Job area Software House Location Pune I, India. Contract type Full time
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Data Scientist (Medium/Senior)
 

Job Location: Pune

Vanderlande provides baggage handling systems for 600 airports around the globe, capable of moving over 4 billion pieces of baggage around the world per year. For the parcel market our systems handle 52 million parcels per day. All these systems generate data. Do you see a challenge in building models that can enable data-driven services for our customers using that data? Do you want to contribute to the fast growing Vanderlande Technology Department on its journey to become more data driven? If so, then join our Digital Service Factory team! 

Your Position 

As a data scientist you will be exploring and developing solutions within one of the predictive maintenance teams. This position is for one of the two teams, which is focused on anomaly detection. You will work with experts, engineers and other end users to understand and translate their needs into proposals for data solutions that can be provided as a service. You will explore the feasibility of these solutions and share the learning with the rest of the company and the product team.

Your Responsibilities: 

  • You will participate in the development of our products and services by designing models and developing algorithms to solve real world problems
  • You will work together with your team on developing anomaly detection based solutions
  • You collaborate with engineering and domain experts throughout the company and determine how to get value from our data
  • Participate or support in productizing and deploying algorithms
  • Keep up with advancements in the field of data science and other related fields
  • You work together with your fellow data scientist located in the Netherlands as well as other locations to share experiences and learn from each other

Your Profile 

  • You have extensive knowledge of data science which you can demonstrate through your work experience, relevant degrees, or personal projects
  • You are experienced in solving real-world problems with data science techniques and have successfully put data science models into production with proven value
  • You are experienced with working on predictive maintenance topics
  • You have experience working with colleagues located in different parts of the world
  • You are familiar working according to CRISP-DM cycles
  • You have basic back-end development knowledge
  • You are experienced with PySpark
  • Our ML (Machine Learning) systems are written in Python, using libraries like pandas, scikit-learn and Tensor Flow. The ML systems run on AZURE. Experience with a similar stack is a plus
  • You are fluent in English, Dutch is a nice-to-have
  • 10-15 years of relevant experience

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