Bayer jobs - Data Scientist

 Acquiring data from primary or secondary data sources and maintaining databases 

 Need to have technical knowledge of 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 business outcomes.