As part of Guidehouse's Advanced 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.
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 critical challenges using Advanced Analytics, AI/ML, and Automation. The CoE works on a wide variety of projects; from predictive analytics models to support our healthcare, financial, and energy services divisions, to open source analysis for federal agencies, to applying a variety of deep learning models (ie, NLP, image recognition) to solve more complex problems.
This role involves working in a multi-functional, Agile team environment with other data scientists, engineers, and UI/UX developers to develop and productionize analytics solutions. It also involves working with customers (internal or external) to gather and validate modeling business rules and assumptions. You will rapidly prototype new solutions, perform testing, measure effectiveness versus evaluation metrics, and deploy them into production in a cloud-based environment.
Minimum Security Clearance: Secret
Minimum Years of Experience: 2
Minimum Education: Bachelors degree in: Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline.
Ability to articulate AI/ML solutions in a compelling impact driven storytelling fashion that inspires trust and builds confidence
Must have a continuous learning mindset
1+ years of Python experience
1+ years of experience in machine learning lifecycle/workflow: fetch, clean, and prepare data - train and evaluate model - deploy to production, monitor, and adjust as needed
1+ years in a visualization tool or library (Tableau, Power BI, matplotlib, seaborn, bokeh, etc.)
1+ years of Database (SQL/NOSQL) experience
Develop and execute project plans using JIRA to track activities and Agile software methodology
Education: M.S./M.A. in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline.
Knowledge, experience, and skills:
Natural Language Processing (NLP)
AWS or Azure
Deep Learning (ie, NLP)
Spark, Scala, and Databricks
Building solutions that are delivered on OpenShift or similar container platform
AWS or Azure certifications
This position requires successful completion of a background check and employment verification.
The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.