In this role, you have the opportunity to
Develop big data analytical models/algorithms and apply models to enhance system service diagnostics efficiency. Build predictive machine learning models and diagnostics models to increase and optimize system servicing experience.
You are responsible for
System log data Exploration, Preparation, Modelling, Implementation and Validation with SQL, R & Phyton data scripting and data science languages.
Develop big data analytical models and algorithms and apply models to enhance system service diagnostics efficiency.
Build predictive machine learning models and diagnostics models to increase and optimize system servicing experiences.
Coordinate with different functional teams to implement models, processes, monitoring of data accuracy & outcomes.
Work with service innovation leaders and R&D leaders to identify opportunities for leveraging system log data to drive serviceability solutions.
You are a part of
Diagnostics X-Ray (DXR) - Services and Solutions Delivery – Service Diagnostics
To succeed in this role, you should have the following skills and experience
Experienced with considerable exposure to delivering meaningful results through data strategies, analytics, technologies & architecture
Deep understanding and experience in developing using Artificial Intelligence, Machine Learning and Deep Learning related technologies
Developed & Proficient in algorithms on regression modelling (linear/logistic), supervised and unsupervised classification, tree-based techniques (Decision trees /Random forest), neural nets, bagging, Pattern Mining and boosting techniques, etc.
Strong hold of concepts in Statistics and expertise in Machin Logs Processing, text mining and text analytics.
Strong programming skills in R, Python, Java and with other open sources Big Data map reduce stack on large datasets.
Strong Expertise on Data Integration/Ingestion/Processing/Analytics/Reporting & BI based Visualization.
Read to be flexible to work on multiple programming languages to support the business opportunities.
Expertise in model documentation and release processes.
Excellent written and verbal communication skills for coordinating across teams
Sufficient business acumen to understand business objectives & dynamics
In return, we offer you
A rewarding career in Philips with attractive package. `
Extensive set of tools to drive your career, such as a personal development budget, free training and coaching
Attractive collective health insurance package
Opportunity to buy Philips shares and products with discount
Why should you join Philips?
Working at Philips is more than a job. It’s a calling to create a healthier society through meaningful work, focused on improving 3 billion lives a year by delivering innovative solutions across the health continuum . Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by watching this video .
To find out more about what it’s like working for Philips at a personal level, visit the Working at Philips page on our career website, where you can read stories from our employee blog . Once there,you can also learn about our recruitment process , or find answers to some of the frequently asked questions .