at Philips
Full TimeJob title:
You will enrich the Remote Monitoring Team of the Services and Solutions Deliverability department on development of advanced predictive and proactive remote diagnostic models and ETLs using data from our various interventional X-ray systems and sub-systems in the field using advanced analytics, modelling and AI techniques.
The Remote Monitoring Team is responsible for proactively monitoring the installed base of our fixed systems labs and is providing all remote diagnostic content to the field supporting predictive/proactive services, reactive remote and onsite services. The team is also a crucial source of machine data towards our quality and R&D groups for continuous improvement and future developments.
You will be part of our Philips Image Guided Therapy fixed systems business.
Your role:
Do you enjoy diving into extensive data lakes of machine data and various other data sources to deliver complex data models that will provide insights for service solutions towards end users? In this data scientist role, you will navigate the complexity of machine data of our systems combined with e.g. historical service case data to drive improvements in our remote predictive and proactive capabilities to prevent unplanned downtime of our customers.
· The data you will be working with is both input for new predictive/proactive/diagnostic models as well as input for our quality and regulatory departments for improvements for future releases of our products and solving issues in the field.
· You will be working in a service and engineering environment with subject matter experts from Service and in close collaboration with software and hardware engineers, business and market colleagues.
· You will be planning analysis of the data and preparing attributes for the first model development phase, preparing the model for QA testing and eventually bringing the model into production and maintenance including the communication of the results of your efforts to the teams and stakeholders.
· The insights provided should drive business decisions and contribute to the growth of Philips
You're the right fit if:
You have a machine learning background/expert in using the latest analytical techniques such as machine learning, deep learning, AI expert and natural language processing.
You are experienced in Python, SQL, R, Java data analysis and visualization of this data.
You have a data science background in handling "difficult text based" data sets, ETL knowledge and machine learning operations (MLOps) experience.
You are a team player and able to actively participate in a model team on technical level and you are a go to person willing to learn from and teach others (hands on, open and approachable personality).
You are self motivated, and you are eager to keep yourself updated about technical developments and practices in own field through literature, courses/trainings, technical contacts, and competitive environment.
You have 3 to 5 years experience in the data scientist space where experience in or affinity with medical device industry is nice to have
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.
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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.
