You will be part of Group IT, EADI (Enterprise Architecture data and Integration) Information and Analytics 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.
In your role you will:
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 (Philips Integrated Landscape) 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're the right fit if you have:
A Bachelor’s Degree in Quantitative subject or B Tech in Engineering, Master’s Degree or PhD in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics, OR, or equivalent.
8-10 years of overall experience in data science, data analytics roles.
8+ 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 Salesforce.com, Azure, AWS, SQL, etc.
Demonstrable advanced programming experience in Python or another programming language such as Azure ML/ Databricks/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 using any BI tools like Power BI, Qlikview, Qliksense, tableau will be added advantage.
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.
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.
Learn more about our business here .
Discover our rich and exciting history here .
Learn more about our purpose here .
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 .