Lead Data Science and Artificial Intelligence/Machine Learning Specialist

Arlington/Rosslyn, VA area

US Citizenship Required

Would designing and implementing AI and ML as part of a solution to safeguard the U.S. through the Department of Homeland Security excite you?

Would you like to lead a team playing a key role in the creation of the Fraud Detection system for U.S. Citizenship and Immigration Services?

If so, then we have a great opportunity for you!

Talent Orchard LLC, a boutique workforce solutions company, has been engaged by a strategic solutions firm serving customers in the US Government to assist in their search to identify highly skilled Lead Data Science and AI/ML Specialist for a newly awarded agile software development services program with USCIS. This work is in support of the Fraud Division to identify discrepancies within applications for immigration and citizenship in the U.S. This will be a heavy data intensive project with emphasis on analytics, mining through an initiative to advance services and technologies using artificial intelligence and machine learning to integrate records and systems. The Lead Data Scientist will be a key member of a cross-disciplinary team to deliver a minimum viable product to USCIS that integrates machine learning approaches to enable adaptive/intelligent software in a comprehensive software development, security and operations (DevSecOps) environment.  

As the Lead Data Scientist your responsibilities will include:

• Lead an agile DevSecOps software team to create innovative applications.
• Lead a team in data-science and machine-learning efforts in support of USCIS clients.
• Responsible for management, oversight and day-to-day tasks for the data science team for the USCIS project.
• Oversee exploratory data analysis of sample data sets to advise the technical lead on the incorporation of machine learning-developed inferencing models and workflows (e.g. dynamic retraining) into the application.
• Consult with UX designer and technical lead on the incorporation of user-originated training data/metadata to support future machine learning projects.
• Analyze requirements, estimate production time, design solutions, code solutions, test solutions, and document work.
• Assist in the definition of application architecture.
• Mentor team of data scientists and provides algorithmic recommendations depending on the data set, acting as SME.
• Ensure adherence to best practices, management processes, and technical constraints.
• Design and conduct training on AI/ML, NPL techniques.
• Assist in the drafting of business cases, project plans, test reports, risk assessments, and other project specific documentation.
• Acts as client liaison in the development of application functional documentation, including technical specs document, technical data sheets, operational manuals, and training materials.
• Must be functional in a coach/player role.

To be successful in this role, your background will include the following;

• Bachelor's degree in Mathematics, Computer Science or similar engineering discipline.
• Ability to obtain and maintain a DHS Suitability clearance.
• Minimum 7+ years of relevant work experience in agile/scrum software development, data science settings with a focus on developing projects using AI/ML technologies, DevSecOps and cloud environments (e.g. Azure, Google Cloud, Digital Ocean)
• Strong experience with NoSQL, Relational, Multimodal and Graph databases.
• Strong experience with Machine Learning algorithms, techniques and tools.
• Strong system architecture and design experience to include deploying production enterprise applications in cloud environments that use AI/ML.
• Experience with Amazon Web Services deployments.
• Experience with scripting and programming languages in Python, R and Java.
• Experience in Design Thinking workshops and all related activities, designing solutions that balance user needs, commercial interests, and technological constraints, and including design strategy, service design, design research.
• Experience planning and executing customer design projects through holistic understanding of problem areas, iterative solution design, executive stakeholder management, and integration of business and technical experts.
• Experience conducting qualitative and quantitative research and synthesizing to provide insights, identify opportunities, and generate conceptual frameworks.
• Experience with opensource development tools (GitHub, GitLab, etc.).
• Experience coordinating activities to scope and schedule work and providing accurate work estimates for the deployment of new features.
• Experience disseminating tasks and reviewing work outputs of lower level data scientists.
• Ability to explain highly technical concepts to non-technical staff.
• Experience with Jira, Confluence, Visio, and MS Project.
• Experience with Microsoft Office tools (Word, Excel, PowerPoint) to present concepts, ideas, and results to team members and clients.

Preferred Requirements

• Master’s degree in Data Science
• Strong understanding of Linux.
• Architectural design, sequence diagrams.
• Data science and governance.
• Wireframe software tools.
• Software quality analysis.
• Active DHS Suitability clearance.

Established in 2010, Talent Orchard has an exceptional reputation, providing staffing solutions to time-sensitive, talent scarcity issues to deliver better talent management ROI.  Our specialty lies in the critical area of program talent acquisition and resource management, not in one narrow skillset, but across many areas of technical and functional delivery. To learn more about our other exciting opportunities, visit our Jobs Page at www.talentorchard.com.

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