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Deloitte Data Scientist Architect - Location Open in McLean, Virginia

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, a 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

  • Strong understanding of data science techniques and libraries and their applicability to business problems

  • Experience in performing exploratory data analysis to define analytical models

  • Lead the development of advanced quantitative models using a variety of programs/software to support predictive assessments

  • Provide expertise for analytical, programmatic, strategic, and operational analysis.

  • Perform technical risk analysis and reliability assessments.

  • Provide recommendations for plans, programs, strategies, policies, and budgets

The Team

Strategy and Analytics/Cognitive

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 Strategy & Analytics/Cognitive 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.

The Data Scientist Architect in Strategy & Analytics 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 in Statistics/Technology/Science/Engineering/Applied Mathematics

  • 10+ years' experience in developing algorithms using data science technologies to build analytical models

  • 10+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access + Python

  • 10+ years' experience in Python and/or R programming, scripts, and data extraction/manipulation

  • 10+ years' experience modeling expertise using a variety of regression and supervised and unsupervised learning techniques

  • 10+ years' experience in data wrangling/cleansing, statistical modeling, and programming

  • 8+ years of consulting experience

  • Travel up to 10% annually

Preferred

  • Masters or PhD in a quantitative analytics field

  • Experience with Tableau or similar visualization tool

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

  • Experience conducting Modeling and Simulation Analysis, DoD Science and Technology (S&T) Analysis, Program Analysis and Evaluation, C4/IT and Cyber Analysis, Manpower Analysis, Training and Education Analysis, DoD Logistics, Maintenance, and Supply Analysis, Naval Amphibious Shipping Analysis, Strategic Plans Analysis, Strategic Investment Analysis, Cost and Economic Modeling and Analysis, Operations Research Analysis, Readiness Analysis, Force Preservation Analysis

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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