What do you get when you bring together the brightest minds and place them into an exciting, fast-paced environment that fosters intellectual growth and rewards based on impact, not tenure?

You get one of the fastest growing consulting companies in the United States. While we may be a new name in consultancy, we were born from a storied one. Guidehouse was founded in 2018 as an evolution of PwC Public Sector with a mission to help our clients deliver on their mission; providing bold new strategies that catalyze transformative results across all ends of the enterprise. We embrace brilliance. We embrace independence. Join us.

Responsibilities

Guidehouse LLP provides business advisory services, including risk consulting, management consulting, and technology consulting to U.S. federal government and state and local governments. Guidehouse LLP (formerly PwC Public Sector) was founded in 2005. Guidehouse LLP is one of four organizations to receive the 2014 Malcolm Baldridge National Quality Award. The Baldridge Award is the nation’s highest Presidential honor for performance excellence.

Build the future of Data Science as part of the Artificial Intelligence Center of Excellence (CoE). The CoE is a unique team within Guidehouse, focusing on solving our client’s most important challenges using Data and Advanced Analytics, AI, and Automation. As one of the top Public Sector professional services firms, the CoE works on a huge variety of projects; from predictive analytics models to support our healthcare and financial services divisions, to open source analysis for federal agencies, and deep learning initiatives for advanced analysis. As part of Guidehouse’s Data Analytics team, you will work on high-impact and high-visibility projects, helping to shape not only Guidehouse’s current business, but its long term strategy.

This role involves working in a complex, multi-functional, Agile team environment with other data scientists, engineers, and UI/UX developers to develop and productionize analytics solutions. This requires the use of sophisticated distributed systems, the development of high-availability APIs, and the application of statistical techniques. It also involves working with the customer / product owner to gather and validate modeling business rules and assumptions. Working with open source tools and platforms to build AI/ML models into production systems that provide real-time insights into data, decision-making, and case complexity. As part of your job, you will handle large amounts of training data, rapidly prototype new cloud architectures, perform testing and push solutions into production. Must have strong problem-solving abilities, be able to work both at high and low levels of detail, have excellent communication skills.

Additionally design, implement and deploy scalable, distributed solutions to support real-time NLP data analytic platform using modern AI principles and techniques. We are seeking individuals with both an understanding of the state of the art in NLP research and operational experience, in order to apply approaches to natural language understanding such as coreference resolution, event extraction, and relation extraction, to the problem of reasoning over large quantities of imprecise unstructured text. Advanced degree in NLP or a related discipline, such as computational linguistics, machine learning, or artificial intelligence. Experience implementing NLP techniques with social media and applying other non-traditional open sources to real-world mission solutions. Experience in the following areas: computational manipulation and analysis of natural language documents using statistical models, and experimenting with large corpora for developing and testing advanced algorithms.