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some of the <a href="https://www.careers.philips.com/global/en/faq" target="_blank">frequently asked questions </a>. </p><p></p></body></html>
ways. Learn more by <a href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3DSjsIRScenFg%26feature%3Dyoutu.be&data=02%7C01%7C%7C2e6ce27a447d492df73708d75d39b5e2%7C1a407a2d76754d178692b3ac285306e4%7C0%7C0%7C637080374748362775&sdata=TafLfASqXFFV8BfOyCLajnNAUVmElZ5pjraYLrl%2FOjc%3D&reserved=0" target="_blank">watching this video </a>. </p><p></p><p></p><p>To find out m
al level, visit the <a href="https://www.careers.philips.com/professional/global/en/workingatphilips" target="_blank">Working at Philips page </a> on our career websi
olutions across the <a href="https://www.philips.com/b-dam/corporate/corporateblog/2016/Philips_Chronic_Disease_5.jpg" target="_blank">health continuum </a>. Our people experie
ad stories from our <a href="https://www.careers.philips.com/global/en/blog" target="_blank">employee blog </a>. Once there,you can
lso learn about our <a href="https://www.careers.philips.com/global/en/recruitmentprocess" target="_blank">recruitment process </a>, or find answers to

Job Information

Philips Service Data Scientist in Pune, India

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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 .

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