ORBIS is seeking an innovative Data Engineer with a TS/SCI and polygraph clearance. They will be responsible for interfacing with upstream and downstream data providers and consumers and will advise (and potentially help implement) on architectures to make the data useful and accessible. The Consultant will support a variety of efforts not restricted to a singular geographic region or language (existing natural language processes operate on 8 languages from across the globe, and more will likely be required). On this project, you’ll have the opportunity to demonstrate your intellectual agility by aiding development of key performance insights and identifying dataflows and techniques to measure their success and will work closely with stakeholders to ensure that data science processes are aligned with mission objectives. This project features the opportunity to interact with a wide range of key stakeholders, including those at senior levels, and has the potential for travel. There are multiple locations to work out of including Chantilly, VA, McLean, VA, and Bethesda, MD. This is an exciting opportunity for an intellectually curious, energetic data scientist looking for more “hands-on” experience to work on a project with real impact helping our client develop ways to understand and improve performance of activities that support delivery of the mission.

EDUCATION AND EXPERIENCE

• A Bachelor’s degree is required for this position
• Minimum of 5 years’ experience in a consulting role in the IC
• Master’s degree in business, social science, or behavioral science preferred but not required for this position

REQUIRED SKILLS/ABILITIES

• U.S. Citizenship
• Active TS/SCI clearance with Polygraph

PHYSICAL REQUIREMENTS

• Prolonged periods of sitting at a desk and working on a computer.
• Routine video conference and/or in-person meetings.
• Ability to attend planned meetings within the Washington Metro Area region.
  We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status

DUTIES/RESPONSIBILITIES

• Assist with stakeholder education on quantitative capabilities, helping them to understand strengths and weaknesses of different approaches and what problems are suitable and unsuitable for data science.
• Identify what data is already available and determine what mission-oriented questions we can answer using that data.
• Extract insights from bulk semi-structured data using data analysis techniques.
• Consult with internal and external stakeholders on the development, prioritization and implementation of process improvement and impact evaluations tasks.
• Develop and implement practical strategies for measuring performance of models and processes, to include development of performance measures, design of actionable methods for collecting and analyzing performance metrics, and implementation of capture and analysis strategies with refinement as needed.
• Analyze both quantitative and qualitative information to provide customers with comprehensive insights into organizational strengths and opportunities for growth.
• Prepare engaging presentations of analysis through data visualization and analytic narratives.
• Brief senior-level customers on research plans, activities, findings and recommendations.

SUPERVISORY RESPONSIBILITIES

This position has no supervisory responsibilities.