Senior Data Scientist - Raynham, MA. - Georgia IT Inc.
Raynham, MA
About the Job
Position : Senior Data Scientist
Location : Raynham, MA.
Duration : Contract
Rate : DOE
US Citizen, Green Card, H4 EAD only
C2C available for US Citizen and Green Card only (no EAD for C2C)
Skill Requirements:
· Adept at using large data sets to find opportunities for product and process optimization
· Able to use models to test the effectiveness of different courses of action.
· Strong 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.
· Proven ability to drive business results with their data-based insights.
· Comfortable working with a wide range of stakeholders and functional teams.
· Mine and analyses data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
· Assess the effectiveness and accuracy of new data sources and data gathering techniques.
· Develop custom data models and algorithms to apply to data sets.
· Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
· Develop processes and tools to monitor and analyses model performance and data accuracy.
· Knowledge on Programming Languages C/C++
· Knowledge of Cloudera Scoop / Flume / Hive / Impala
· Experience using statistical computer languages (R, Python, Scala, SQL, etc.) to manipulate data and draw insights from large data sets.
· Experience in working with MS Office application, working with and creating data architectures.
· Expert in quantitative methods and statistical computing
· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
· Previous experience of manufacturing related advanced analytics (nice to have)
· Excellent written and verbal communication skills for coordinating across teams.
· Experience in manipulating data sets and building statistical models.
Location : Raynham, MA.
Duration : Contract
Rate : DOE
US Citizen, Green Card, H4 EAD only
C2C available for US Citizen and Green Card only (no EAD for C2C)
Skill Requirements:
· Adept at using large data sets to find opportunities for product and process optimization
· Able to use models to test the effectiveness of different courses of action.
· Strong 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.
· Proven ability to drive business results with their data-based insights.
· Comfortable working with a wide range of stakeholders and functional teams.
· Mine and analyses data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
· Assess the effectiveness and accuracy of new data sources and data gathering techniques.
· Develop custom data models and algorithms to apply to data sets.
· Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
· Develop processes and tools to monitor and analyses model performance and data accuracy.
· Knowledge on Programming Languages C/C++
· Knowledge of Cloudera Scoop / Flume / Hive / Impala
· Experience using statistical computer languages (R, Python, Scala, SQL, etc.) to manipulate data and draw insights from large data sets.
· Experience in working with MS Office application, working with and creating data architectures.
· Expert in quantitative methods and statistical computing
· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
· Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
· Previous experience of manufacturing related advanced analytics (nice to have)
· Excellent written and verbal communication skills for coordinating across teams.
· Experience in manipulating data sets and building statistical models.
Source : Georgia IT Inc.
