Address
Form of workAre 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 ...
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
- 3 years of experience designing and building Data Visualizations with an understanding of the appropriate chart types to use to highlight patterns in the data
- 3 years of experience quantifying, tabulating and analyzing large, complex volumes of data to transform the data into actionable insights
- 3 years of experience using Power BI and other Data Visualization tools
- 3 years of experience building Data Visualization dashboards
- 3 years of experience with python and/or R programming
- 3 years of modeling experience using a variety of regression and supervised and unsupervised learning techniques
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
- 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
- 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.
- Must be able to obtain the required level of security clearance for this role
Preferred
- Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources
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 ...
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
- 3 years of experience designing and building Data Visualizations with an understanding of the appropriate chart types to use to highlight patterns in the data
- 3 years of experience quantifying, tabulating and analyzing large, complex volumes of data to transform the data into actionable insights
- 3 years of experience using Power BI and other Data Visualization tools
- 3 years of experience building Data Visualization dashboards
- 3 years of experience with python and/or R programming
- 3 years of modeling experience using a variety of regression and supervised and unsupervised learning techniques
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
- 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
- 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.
- Must be able to obtain the required level of security clearance for this role
Preferred
- Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources
