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Job Description:
On behalf of our client we are seeking an experienced US Government cleared Data Scientist AI/ML Architect to join our Center of Excellence (COE) in McLean VA. We have an immediate opening for an innovative technologist/engineer to lead our Data Science AI and ML solution initiatives. This engineer will also have the opportunity to work with peers across our practice areas (cybersecurity performance engineering IT Modernization). This exciting but challenging role is a hybrid of solution design pre sales engineering and consulting services.
Job Responsibilities:
Design structure package and implement Data Science AI/ML and data analytics solutions based on our technology partnerships (DataRobot Elasticsearch Informatica Snowflake Qlik UIPath Confluent AWS etc)
Help agencies understand and leverage Data Analytics and AI/ML frameworks and approaches Provide subject matter expertise (SME) services to key clients and strategic projects
This may include design implementation adoption or optimization services in support of relevant technologies
Quantify and communicate business and technical value of solutions and services
Assist with creation of technical marketing material sales enablement service plans best practices etc.
Job Requirements:
An Active US government security clearance (DoD up to TS is desirable)
At least a bachelors degree in Computer Science or Mathematics
At least 10 years engineering experience with at least 5 years direct handson experience with data science data visualization and/or AI/ML applications.
Strong communication and interpersonal skills to include a passion for storytelling and teaching
Strong understanding of data science and AI/ML architecture best practices.
Passion for solving tough customer issues with datadriven analysis and decisions.
Handson experience creating analytics and AI/ML based systems to solve these tough problems.
Extensive experience with technical content creation to include architectures assessment reports presentations guides and supporting media
Experience with python data science frameworks and automation methodologies
Experience with git integrated development environments and AWS offerings
Full-Time