US E- Consulting- Data Visualization Developer - SS-(BG)-S&A/AI&DE-USDC-GPS - Path B

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
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• 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.
• Must be able to obtain the required level of security clearance for this role
• 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
• 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

Preferred 

• Business analytics experience in one or more of the following industries: Insurance, Consumer Products and Packaged Goods, and Human Resources

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html