You will partner with our business stakeholders across Merck to identify opportunities to drive business solutions.
You will perform data mining and analysing given data to optimize and improve Merck’s operation and business strategies.
You will assess data sources and data gathering techniques for effectiveness and accuracy.
You will develop custom data models and algorithms to apply to the given data sets.
You will apply predictive modelling to increase and optimize business outcomes.
You will develop testing framework such as A/B and test the quality of the framework.
You will implement data models and monitor the outcomes of the models implemented.
You will develop processes and tools for models to monitor and analyse performance and accuracy of the models developed.
You will gather and analyse data, devise innovative data science solutions and build prototypes to enable development of high-performance algorithms in scalable, product-ready code.
You will Initiate and propose unique and promising deep learning capabilities, develop new and innovative algorithms and technologies.
You should stay current on published state-of-the-art algorithms and competing technologies.
You will contribute to the application development.
You will upskill and mentor team members on the data science tools and technologies.
Qualification
Total 7+ years of experience in data science.
Education: Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Expert in in using data mining/data analysis methods, building and implementing models, using/creating algorithms and creating/running simulations.
Experience in using large data sets and using models to test the effectiveness of different courses of action.
Experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets.
Experience in creating data architectures.
Experience with languages like Python, Java, JavaScript, etc.
Experience with Cloud Architecture like AWS, Azure etc.
Experience in creating algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
Experience with distributed data & computing tools & techniques like Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.