This position will mine and analyze complex and unstructured data sets using advanced statistical methods in data driven decision making. This position will also be able to develop, through various software, models, graphs and other means to relay the interpretation of the data.
RESPONSIBILITIES
Identifies unique opportunities to collect new data.
Designs new processes and builds large, complex data sets.
Performs research, analysis, and statistical modeling on organizational data.
Tests and validates predictive models.
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Implements new or enhanced software designed to access and handle data more efficiently.
Provides "data stories” by using data visualization and data communication techniques.
Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
Education/Certification:
A Bachelor's degree in computer science or related field required.
Master's degree in business analytics, statistics or an advanced computer programming field required. (Nice to Have)
Experience Required:
Practical experience building predictive analytics.
PVOT tables experience is required
Previous experience in data mining or statistical modeling required.
Power BI applied to Data Science
2-3years experience with Cloud Environment like: Azzure, AWS, Google
Experience with AI Products :
Amazon AI Services
Amazon Sage Maker
Amazon Augmented AI
Data Factory
Skills and Abilities:
Possesses a working knowledge of statistics, programming, and predictive modeling.
Demonstrates excellent code writing abilities.
Displays understand of and ability to use programming languages like Python and SQL .
Shows strong knowledge of basic and advanced prediction models.
Possesses a combination of creative abilities and business knowledge.
Has data mining knowledge that spans a range of disciplines.
Demonstrates excellent verbal and written This position will mine and analyze complex and unstructured data sets using advanced statistical methods in data driven decision making. This position will also be able to develop, through various software, models, graphs and other means to relay the interpretation of the data.
RESPONSIBILITIES
Identifies unique opportunities to collect new data.
Designs new processes and builds large, complex data sets.
Performs research, analysis, and statistical modeling on organizational data.
Tests and validates predictive models.
Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.
Implements new or enhanced software designed to access and handle data more efficiently.
Provides "data stories” by using data visualization and data communication techniques.
Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.
Education/Certification:
A Bachelor's degree in computer science or related field required.
Master's degree in business analytics, statistics or an advanced computer programming field required. (Nice to Have)
Experience Required:
Practical experience building predictive analytics.
PVOT tables experience is required
Previous experience in data mining or statistical modeling required.
Power BI applied to Data Science
2-3years experience with Cloud Environment like: Azure, AWS, Google
Experience with AI Products:
Amazon AI Services
Amazon Sage Maker
Amazon Augmented AI
Data Factory
Skills and Abilities:
Possesses a working knowledge of statistics, programming, and predictive modeling.
Demonstrates excellent code writing abilities.
Displays understand of and ability to use programming languages like Python and SQL .
Shows strong knowledge of basic and advanced prediction models.
Possesses a combination of creative abilities and business knowledge.
Has data mining knowledge that spans a range of disciplines.
Demonstrates excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management.
communication skills as well as the ability to bridge the gap between data science and business management.
