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
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Understand data visualization techniques and libraries and their applicability to business problems.
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Perform exploratory data analysis to define analytical models.
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Develop advanced quantitative models using a variety of programs/software to support predictive assessments.
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Provide expertise for analytical, programmatic, strategic, and operational analysis.
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Explain analytics model behavior/results in the vernacular of business.
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Perform technical risk analysis and reliability assessments.
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Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques.
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Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
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Provide recommendations for plans, programs, strategies, policies and budgets.
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Design algorithms that require a number of different models/methods to be used in an ensemble.
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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:
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Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
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Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
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Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Qualifications
Required
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3+ years of experience working with Microsoft Power BI software
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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
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3+ years of experience quantifying, tabulating and analyzing large, complex volumes of data to transform the data into actionable insights
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3+ years of experience using Power BI and other data visualization tools
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3+ years of experience building data visualization dashboards
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3+ years of experience with python and/or R programming
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3+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques
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Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
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Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations
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Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
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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
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Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Information for applicants with a need for accommodation: [1] https://www2.d el oitte.com/us/e n/pages/career s/articles/joi n-deloitte-ass istance-for-di sabled-applica nts.html