Data Scientist - IT

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

Skills Required-

Strong in Data Science/ Machine Learning with R/ Python/ MATLAB/ C++

Should be from Big Data background (Hadoop, Hive, HBase, spark,kafka etc)

Preferred areas of ML are Artificial Intelligence, Neural Networks, Deep Learning, Computer Vision, Pattern recognition, NLP (less preferred).

Should be strong in writing ML algorithms