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Business Strategy
WD30132582322 Requisition #

What you will do

You will be joining Johnson Control’s Xaap team. Xaap provides a single, centralized platform for inspecting building systems and devices. For more information, see https://www.xaapbuildings.com/. Several years’ worth of customer and platform data have been gathered for this product. The role is to analyse data to provide insights into customer use of Xaap to improve the business processes and provide better services to customers. We are looking for patterns in the data to not only improve the current services, but also look to help Xaap customers become more predictive on what may happen in the near future.

The individual must be capable of working collaboratively with the business and engineering teams to reformulate customer and engineering problems as data science solutions and to deliver the solutions agreed upon.

This is an exciting opportunity to use data science to add value to the Xaap product and differentiate it from its competitors.

How you will do it 

  • Extraction of datasets from databases, flat files and other data sources, as well as subsampling from large volume datasets.
  • Identification and exploration of new datasets: characterization of variables, relationship discovery, group discovery, anomaly detection, identification of missing/duplicate/erroneous records.
  • Cleaning and transforming data: treatment of missing/duplicate/erroneous records, feature extraction, feature engineering, feature selection.
  • Data modelling: hypothesis formulation and validation, application of statistical and/or machine learning techniques, model selection, model evaluation.
  • Verifying algorithm correctness and appropriateness.
  • Communicating the outcomes of the analysis to the business and engineering teams

What we look for 

  • 3rd level degree in computer science, mathematics, statistics, electrical engineering or equivalent experience.
  • At least 2-3 years of hands-on experience in data science
  • Understanding of data analysis and machine learning algorithms.
  • Experience using data analysis and machine learning tools, e.g. R, Python.
  • Experience in agile software development methodologies.
  • Ability to work and collaborate effectively with geographically separated diverse teams.
  • Strong interpersonal, written, and oral communication skills.
  • Negotiation to agreement through discussion and compromise.


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