Data Scientist I

fulltime
Expired

Employment Information

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

Your role:

  • In order to create a positive customer experience, this role is responsible for the creation of meaningful AI applications leveraging data, images and information gathered from the device usage.
  • This role needs employing advanced analytics, modelling and AI techniques.
  • The developed value added AI applications should drive business outcomes and contribute to the growth of Philips.
  • Uses latest techniques such as machine learning, deep learning and computer vision.
  • Keeps abreast of technical developments and practices in own field through literature, courses/trainings, technical contacts, and competitive environment.
  • Applies agile software development methods as a member of agile teams.
  • All to ensure great digital solutions are developed for our customers.

You're the right fit if:

  • 7-10 years experience in AI and Data Science field
  • Master's in computers, electronics, electrical engineering or PhD in relevant streams
  • Experience in developing NLP algorithms, AI based CV applications
  • Experience in NLP techniques for text representation (such as n-grams, bag of words, sentiment analysis etc), semantic extraction techniques, data structures and modeling
  • Experience in using Auto encoders like Transformers, LLMs, RAG Architecture
  • Excellent understanding of machine learning techniques and algorithms like k-NN, SVM, Random Forest, privacy models, etc.
  • Understanding exploratory data processing techniques such as cleaning and verifying the integrity of data used for analysis
  • Understanding of state-of-the-art computer vision, NLP and AI for imaging algorithms
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Experience in building and optimizing reactive and predictive models with Machine Learning techniques
  • Experience with one or more analytic software tools or languages like Python, R
  • Experience with machine learning frameworks, like Keras or PyTorch and Deep Learning based libraries for imaging
  • Strong analytical, problem solving and communication skills


About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.

If you're interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.

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