Hi,
We have an urgent opening for Data Scientist.
Experience: 8-12 Yrs
Work Location: Noida
Skills: Machine Learning, Data Analytics, Predictive Analysis.
Job Description: Data Scientist
Job Summary:
The Data Scientist will be responsible for developing predictive systems, creating efficient algorithms and improving data quality. This individual will work closely with the Research and Development team to identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and solutions for Capital Markets and Risk Management.
Key Responsibilities:
• Work with engineering and research teams on designing, building and deploying data analysis systems for large data sets
• Design, develop and implement R&D and pre-product prototype solutions and implementations using off the shelf tools (e.g. R, SAS, Matlab), and software (e.g. Python, Java, C/C++, .NET)
• Create algorithms to extract information from large data sets.
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis.
• Develop metrics and prototypes that can be used to drive business decisions.
Minimum Requirements:
• Experience in relevant field such as Statistics, Computer Science or Applied Math.
• Must have PhD in (Math’s/Statistics or Applied Mathematics/Machine Learning, etc)
• Familiarity with - Natural Language Processing, Machine Learning (clustering analysis, Markov chains for Monte Carlo simulations, principal component analysis), Conceptual Modeling, Statistical Analysis (distribution analysis, correlation, variance), Predictive Modeling(linear and multivariate regression, logistic regression), Hypothesis Testing
• Strong background in statistical concepts and calculations.
• Experience with real data
• Innovative and strong analytical and algorithmic problem solvers.
• Proficiency with statistical analysis tools (e.g. R, SAS, Matlab)
• Proficiency with software development technologies (e.g. Python, Java, C/C++, .Net)
• Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
• Expert at data visualization and presentation.
• Experience with big data tools (e.g., Hadoop, HDFS, Cassandra, Storm etc ).
Regards,
Bhoomi
We have an urgent opening for Data Scientist.
Experience: 8-12 Yrs
Work Location: Noida
Skills: Machine Learning, Data Analytics, Predictive Analysis.
Job Description: Data Scientist
Job Summary:
The Data Scientist will be responsible for developing predictive systems, creating efficient algorithms and improving data quality. This individual will work closely with the Research and Development team to identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and solutions for Capital Markets and Risk Management.
Key Responsibilities:
• Work with engineering and research teams on designing, building and deploying data analysis systems for large data sets
• Design, develop and implement R&D and pre-product prototype solutions and implementations using off the shelf tools (e.g. R, SAS, Matlab), and software (e.g. Python, Java, C/C++, .NET)
• Create algorithms to extract information from large data sets.
• Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis.
• Develop metrics and prototypes that can be used to drive business decisions.
Minimum Requirements:
• Experience in relevant field such as Statistics, Computer Science or Applied Math.
• Must have PhD in (Math’s/Statistics or Applied Mathematics/Machine Learning, etc)
• Familiarity with - Natural Language Processing, Machine Learning (clustering analysis, Markov chains for Monte Carlo simulations, principal component analysis), Conceptual Modeling, Statistical Analysis (distribution analysis, correlation, variance), Predictive Modeling(linear and multivariate regression, logistic regression), Hypothesis Testing
• Strong background in statistical concepts and calculations.
• Experience with real data
• Innovative and strong analytical and algorithmic problem solvers.
• Proficiency with statistical analysis tools (e.g. R, SAS, Matlab)
• Proficiency with software development technologies (e.g. Python, Java, C/C++, .Net)
• Extensive experience solving analytical problems using quantitative approaches (e.g. Bayesian Analysis, Reduced Dimensional Data Representations, and Multi-scale Feature Identification).
• Expert at data visualization and presentation.
• Experience with big data tools (e.g., Hadoop, HDFS, Cassandra, Storm etc ).
Regards,
Bhoomi
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