Data Scientist - Healthcare/Pharma

Responsibilities and Key Result Areas :

- Work with internal Business/Product units and external customers, engineering and research teams in building predictive models in healthcare and lifestyle areas

- Manipulate and analyze complex, high-volume, high-dimensional data from varying sources

- Setup, Analyze and interpret the results of product experiments. Answer questions by using appropriate statistical techniques on available data

- Communicate complex quantitative analysis in a clear, precise, and actionable manner

- Design, develop and implement solutions and implementations using R, Python and HSDP ML libraries

- Create/Leverage algorithms to extract Patterns from large data sets.

- Define and adhere to scalable, efficient processes for model development, model validation, model implementation and large scale data analysis.

- Develop metrics and prototypes that can be used to drive business decisions.

- Identify emergent trends and opportunities for future client growth and development

- Drive the collection of new data and the refinement of existing data sources

- Interface with stakeholders for Requirements understanding, architecture clarifications etc.

- Support in project estimation, planning and risk management activities. Identify and escalate risks in time

- Ensure compliance to the Quality Management System and regulatory requirements now-how & Skill Set

- Ph.D. or Master's Degree in applied statistics, computer science, Applied maths, data mining, machine learning or operations research.

- Strong background in Maths (Linear Algebra, Stats, Linear/Quadratic programing, Calculus)