Analytics Architect - Chicago, IL. - Georgia IT Inc.
Chicago, IL
About the Job
Position : Analytics Architect
Location : Chicago, IL
Duration : Long Term
Rate : DOE
US Citizen, Green Card, H4 EAD only
C2C available for US Citizen and Green Card only (no EAD for C2C)
Skill Requirements:
· Senior data analytics resource with 13+ years' experience.- BI Analytics,
· At least 12+ years of work experience
· Strong background in statistical concepts and calculations
· Use machine learning, data mining, predictive modelling, and statistical techniques to create new scalable models for business requirement.
· Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling
· Strong Proficiency in statistical analysis tools (R, Python and SAS)
· Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
· Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas, including deep learning techniques
· Awareness or experience with using big data tools (Hadoop, Spark, Hive)
· Knowledge of data collection using query languages like SQL.
Location : Chicago, IL
Duration : Long Term
Rate : DOE
US Citizen, Green Card, H4 EAD only
C2C available for US Citizen and Green Card only (no EAD for C2C)
Skill Requirements:
· Senior data analytics resource with 13+ years' experience.- BI Analytics,
· At least 12+ years of work experience
· Strong background in statistical concepts and calculations
· Use machine learning, data mining, predictive modelling, and statistical techniques to create new scalable models for business requirement.
· Need to have good understanding & working knowledge in Natural Language Processing & Conceptual modelling
· Strong Proficiency in statistical analysis tools (R, Python and SAS)
· Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
· Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas, including deep learning techniques
· Awareness or experience with using big data tools (Hadoop, Spark, Hive)
· Knowledge of data collection using query languages like SQL.
Source : Georgia IT Inc.
