Glenmark Pharmaceutical jobs - Data Scientist

Data Scientist

Glenmark Pharmaceutical
experience Fresher
salary Salary not disclosed
qualification
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Posted: 4 Years ago
Views: 11
Applications: 38
Openings: 50

Job Description

JOB DESCRIPTION DATA SCIENTIST Interpreting data, analysing results using statistical techniques Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Acquiring data from primary or secondary data sources and maintaining databases Need to have technical knowledge on data models, data designing Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Support our product and team with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve busine

Job Particulars

EducationB.Pharm
Who can applyFreshers
Hiring Process Face to Face Interview, Telephonic Interview
Employment TypeFull Time
Job Id276150
Job Category IT/Software
Locality Address Bandra East , Bandra West
StateTelangana, Karnataka, Maharashtra, Maharashtra, Tamil Nadu, West Bengal
Country India

About Company

JOB DESCRIPTION DATA SCIENTIST Interpreting data, analysing results using statistical techniques Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Acquiring data from primary or secondary data sources and maintaining databases Need to have technical knowledge on data models, data designing Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality Acquire data from primary or secondary data sources and maintain databases/data systems Identify, analyze, and interpret trends or patterns in complex data sets Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems Work with management to prioritize business and information needs Locate and define new process improvement opportunities Support our product and team with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve busine
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