Lead Data Scientist

About the Employer
Annual Salary
Not disclosed

Job Description

Job Title
Lead Data Scientist

Job Description

O2C Analytics at PIC is a part of the global IT organization that is working towards its vision of “Digitalization of supply chain by developing and deploying advanced differentiating capabilities with analytics.”

To realize vision, We in IT O2C platform are building data science ‘Center of Excellence’ located in Bengaluru and Chennai. The team consists of Solution architects, data engineers, business consultants etc. We are looking for multiple... lead data scientist to be part of Data scient CoE to provide advanced data science solutions using advanced techniques, tools, and methods to complex business problems. You create and maintain standards around data science for the company. Partner with businesses, markets, and functions.

Your responsibilities
• Co-create with business / market / functions or IT platforms on data science projects to meet the business need for insights and analytics using sophisticated data science techniques i.e. automation, crunching big data sets, machine learning or AI
• Strong proven experience in solving business problems through data science techniques, statistical modeling where simple analysis will not be sufficient
• 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

Core competencies needed to be successful:
• A Master’s Degree or PhD in Computer Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics 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 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 leadersShow full descriptionCollapse

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