1+ months
2017-12-072018-02-05

Data Science Research Manager - Philips

Cambridge, Massachusetts

In this role, you have the opportunity to

Take responsibility for the architecture of a range of products or subsystems - in such a way that future product options and features can be realized with acceptable effects for the earlier products.

 

You are responsible for

  • Design and implement Machine Learning algorithms
  • Act as a liaison between product and research groups or customers
  • Provide training using Philips technologies for AI and Data Science
  • Act as an integrated team member on given projects.
  • Provide distributed computing capabilities to run Algorithms on massive data
  • Plays an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and machine learning solutions
  • Provide scalable machine learning scoring engines
  • Enable end users to extract insights and Patterns from the data points
  • Evaluate and consider the best of algorithms present in the open source community for creating the ML Libraries
  • Interact with Product teams to understand the problem domain and with researchers to enable them to quickly build the models
  • Evaluate Technologies in the Analytics and Machine learning area
  • Integrate relevant Research ML assets into the Analytics stack
  • Prototype and iterate rapidly
  • Provide tools/toolkits/utilities for app developers

Requirements

To succeed in this role, you should have the following skills and experience
  • Master’s Degree or PhD in Engineering, Mathematics or Computer Science
  • 7+ years of professional experience in applying Machine Learning techniques in a big data environment
  • Programing - R, Scala, Java, Python, SQL, Ruby
  • Machine Learning Techniques - Supervised, Unsupervised, Semi-supervised, reinforcement
  • ML libraries – R, SparkMLLIb, H20
  • Analytics Areas – Image, Text, Numeric, Speech
  • Deep Learning and Natural Language Processing
  • Graph Processing
  • Distributed computing
  • Big Data - HDFS, Yarn, Spark

     

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.
 
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.

Philips is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex (including pregnancy), sexual orientation, gender identity, national origin, genetic information, creed, citizenship, disability, protected veteran or marital status.
 
As an equal opportunity employer, Philips is committed to a diverse workforce. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants that require accommodation in the job application process may contact 888-367-7223, option 5, for assistance.
         

Categories

  • Data Analytics
  • Data Engineer
  • Data Scientist

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Data Science Research Manager - Philips

Philips
Cambridge, Massachusetts

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