Deloitte Senior Data Scientist in St. Louis, Missouri
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
Work with data science techniques and libraries to show data's 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.
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 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.
Analytics & Cognitive 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.
Current federal guidance requires that GPS professionals must be fully vaccinated against COVID-19 by December 8, 2021, unless legally entitled to an accommodation.
Bachelor's degree or equivalent work experience in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field.
6+ years of experience in developing algorithms using data science technologies to build analytical models.
6+ years of data extraction/manipulation experience using scripts specific to Python and/or R.
6+ years of experience with Python and/or R programming.
5+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, Qlikview, Excel and Access +python.
6+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
6+ years of experience in data wrangling/cleansing, statistical modeling, and programming.
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 be willing to live and work in one of our Center 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.
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.