Philips Data Scientist - Specialist in Bangalore, India

Work with internal Business/Product units and external customers, engineering and research teams in building predictive models in serviceability healthcare area

Manipulate and analyze complex, high-volume, high-dimensionality data from varying source

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

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

Job Responsibilities-

Looking for candidates in Good experience on Python & R ( Tools for creating Models).

Atlest 2 years in data analytics part.

Background of DBA(SQL or Non SQL)

Should be able to write queries.

Nice to have experience in Machine learning.

Experience level would be 4-8 years(6 Years Mininimum)

Work with internal Business/Product units and external customers, engineering and research teams in building predictive models in serviceability healthcare area

Manipulate and analyze complex, high-volume, high-dimensionality data from varying source

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

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