Lead - Data Scientist - Healthcare

Your responsibilities

- Ensure strategic direction for data science capabilities for 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

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.