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Posted : Monday, March 11, 2024 05:34 AM
Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon.
Interested? Read more about our opportunity below .
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Work you'll do/Responsibilities Understand data visualization techniques and libraries and their applicability to business problems.
Perform exploratory data analysis to define analytical models.
Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
Provide expertise for analytical, programmatic, strategic, and operational analysis.
Explain analytics model behavior/results in the vernacular of business.
Perform technical risk analysis and reliability assessments.
Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
Provide recommendations for plans, programs, strategies, policies and budgets.
Design algorithms that require a number of different models/methods to be used in an ensemble.
Deploy models into production.
The Team Artificial Intelligence & Data Engineering In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Qualifications Required 5+yearsoffull stack software development on web and client/server solutions 5+ years of experience with Java, Angular, ReactJS, CSS, JavaScript, HTML Experience developing web applications utilizing Java Enterprise Edition (J2EE), XML, or Web Services at an enterpriselevel Experience with Spring Framework, JMS, SOAP and REST web services 5+ years of experience working withJ2EE Framework components such as Servlets, JSP, JDBC, Logging mechanism (ex.
Log4J), Transaction Management and Thread Management Experience writing SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, DB2 Deep understanding of developing Web-services, HTML UI, CSS and JavaScript Experience with Eclipse IDE and Spring Framework Experience with performing code reviews and recommending automated reviewtools Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
This may include overnight travel.
Expected to co-locate in your designated office/USDC location up to 30% of the time Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience Must live in a commutable distance to or be willing to relocate to one of the following Delivery locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources Must be able to obtain the required level of security clearance for this role.
Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon.
Interested? Read more about our opportunity below .
.
.
Work you'll do/Responsibilities Understand data visualization techniques and libraries and their applicability to business problems.
Perform exploratory data analysis to define analytical models.
Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
Provide expertise for analytical, programmatic, strategic, and operational analysis.
Explain analytics model behavior/results in the vernacular of business.
Perform technical risk analysis and reliability assessments.
Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
Provide recommendations for plans, programs, strategies, policies and budgets.
Design algorithms that require a number of different models/methods to be used in an ensemble.
Deploy models into production.
The Team Artificial Intelligence & Data Engineering In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Artificial Intelligence & Data Engineering will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Qualifications Required 5+yearsoffull stack software development on web and client/server solutions 5+ years of experience with Java, Angular, ReactJS, CSS, JavaScript, HTML Experience developing web applications utilizing Java Enterprise Edition (J2EE), XML, or Web Services at an enterpriselevel Experience with Spring Framework, JMS, SOAP and REST web services 5+ years of experience working withJ2EE Framework components such as Servlets, JSP, JDBC, Logging mechanism (ex.
Log4J), Transaction Management and Thread Management Experience writing SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, DB2 Deep understanding of developing Web-services, HTML UI, CSS and JavaScript Experience with Eclipse IDE and Spring Framework Experience with performing code reviews and recommending automated reviewtools Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
This may include overnight travel.
Expected to co-locate in your designated office/USDC location up to 30% of the time Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience Must live in a commutable distance to or be willing to relocate to one of the following Delivery locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources Must be able to obtain the required level of security clearance for this role.
• Phone : NA
• Location : Gilbert, AZ
• Post ID: 9118825401
