Senior Data Scientist I
4 days ago
Job Title Senior Data Scientist IIn 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 application of advanced analytics modelling and AI techniques The developed value-added AI applications should drive business outcomes and contribute to the growth of Philips Your role This role expects to shape and create the AI roadmap for businesses using innovative thinking approach Use latest techniques such as machine learning deep learning and computer vision Keep abreast of technical developments and practices in own field through literature courses trainings technical contacts and competitive environment Apply agile software development methods as a member of agile teams Ensure great digital solutions are developed for our customers You re the right fit if 14 years experience in AI and Data Science field Master s in computers electronics electrical engineering or PhD in relevant streamsUnderstanding of the state-of-the-art computer vision NLP and AI for imaging algorithmsExperience in developing NLP algorithms AI based Computer Vision applicationsExperience in NLP techniques for text representation such as n-grams bag of words sentiment analysis etc semantic extraction techniques data structures and modelingExperience in using GenAI techniques like Agentic frameworks Auto encoders Transformers LLMs RAG ArchitectureExperience in CV based Deep Learning models like Unet YOLO etcExperience with machine learning and deep learning frameworks like PyTorch Tensorflow OpenCVExperience in Deep Learning frameworks like Pytorch TensorflowExcellent 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 analysisExperience in generating IP and new ideas proposalsExperience in applied statistics skills such as distributions statistical testing regression etc Experience in building and optimizing reactive and predictive models with Machine Learning techniquesExperience with one or more analytic software tools or languages like Python RStrong analytical problem solving and communication skillsHow we work together We believe that we are better together than apart For our office-based teams this means working in-person at least 3 days per week Onsite roles require full-time presence in the companys facilities Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations This role is an office role 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 Discover Learn more about If youre 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
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