Required Skills

Computer science Data analysis Simulation Neural networks MySQL Javascript Application development Data mining Business solutions Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 23rd Jul 2022



  • 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.


  • 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.

Company Information