Job Location: Bangalore
IDM – Lead Data ScientistJob Description
#LI-PHILIN
Main purpose of this role:
Be a part of the Enterprise IT , Information and Data Science team and drive a strategic and actionable Data Science architecture to activate the needed business capabilities. Deliver business use cases like Care Provider (Customer) 360 initiative, Product bundling , Value Based pricing , Conversational AI, Indirect Trade partner classification , Data pipeline predictions etc – an ambition to better understand the needs of Healthcare Providers, the way Philips serves its customers and how and where Philips can add value to the customer decision journey.
Your responsibilities
- Ensure strategic direction for data science capabilities for Philips is created and kept up to date on a regular basis
- Continuously evaluate the latest techniques in Artificial intelligence, machine learning, robotics, statistical analysis
- Implement advanced algorithms for business problems based on statistical analysis, coding, deep learning, advanced data mining techniques etc.
- Develop new algorithms if necessary, to bring predictive, advanced statistics / learning based solutions
- Develop algorithms to further automate processes and feed insights back into PIL for better business outcome
- Co-create with business / market / functions or IT platforms on requirements
- Ensure quality of data and solution developed
- Lead and drive data mining, creating algorithms, collection of data, collection of procedures during the design, build phases of a project
- Lead and drive in deploy and testing of the solutions and insights
- Spot and evaluate emerging/cutting edge, open source, data science/machine learning libraries
You are part of:
You will be part of Group IT , Information and Data Management team that drives business impact through Data Science and Advanced analytics. A team that instigates collaboration across diverse teams globally to manage Data as an asset at Philips.
Core competencies needed to be successful:
A Master’s Degree or PhD in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent
- 10-15 years of overall experience in data science, data analytics roles
- 10+ years of experience in multiple of machine learning, data mining, deep learning, artificial intelligence, pattern recognition areas
- Experience in driving implementation of solutions, data and algorithms on data warehouse and lakes like Azure , AWS, SQL etc
- Demonstrable advanced programming experience in Python or another programming language such as Azure ML/R/Python etc
- Strong analytical and social skills and the capability to translate data intelligence into valuable insights for the senior stakeholders in the company
- Ability to formulate multiple complex business problems into hypothesis and proof of concepts for testing
- Manage Projects and lead a sub-portfolio of data science project teams to deliver results
- Coach, Guide and direct teams of internal and vendor resources
- Collaborate across IT platform teams to deploy solutions and drive continuous improvements
- Manage senior stakeholder in the company in a matrix organization i.e. Market / BG / Function leaders
In return, we offer you
A warm welcome to a challenging, innovative environment with great opportunities for you to explore. Quality is right on the top of Philips leadership agenda and that means you have the unique opportunity to come in and have a recognized voice to drive and witness exciting, transformational changes. You will be empowered to drive high quality, groundbreaking innovations with a globally recognized, premium brand behind you. Next to that a rewarding career in Philips with attractive package.
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 2.5 billion lives a year by delivering innovative solutions across the . Our people experience a variety of unexpected moments when their lives and careers come together in meaningful ways. Learn more by .
To find out more about what it’s like working for Philips at a personal level, visit the on our career website, where you can read stories from our . Once there,you can also learn about our , or find answers to some of the .
10.00-15.00 Years
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