Job Location: Gilbert, AZ
Job Detail:
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
- Bachelor’s degree or equivalent work experience in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field.
- 6+ years of experience designing and building data visualizations with an understanding of the appropriate chart types to use to highlight patterns in the data.
- 6+ years of experience quantifying, tabulating and analyzing large, complex volumes of data to transform the data into actionable insights.
- 6+ years of experience using Tableau and other data visualization tools.
- 6+ years of experience building data visualization dashboards.
- 6+ years of experience with python and/or R programming.
- 6+ years of modeling experience using a variety of regression.
- Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
- Must live a commutable distance or be willing to relocate to one of our USDC locations:
- Lake Mary, FL (Orlando area)
- Mechanicsburg, PA (Harrisburg area)
- Gilbert, AZ (Phoenix area)
- 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.
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