Data Scientist

at  Orbis Operations Management Company

Orbis is seeking an innovative Data Scientist with a TS/SCI-FSP clearance. Data Scientist will be responsible for identifying data sources and needs, performing aggregation and analysis of that data, and integrating the sponsor office into the broader data science community. 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 in the technical space. You will also have the opportunity to exercise data visualization skills through Tableau, PowerPoint, and other visualization tools. 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. 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.
Key Responsibilities

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
Skills, Knowledge and Expertise

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
• Proven ability to analyze data and translate analysis into meaningful insights
• Comfortable with standard ETL and data cleansing processes in pandas or similar
• Demonstrated ability to manipulate and analyze large data sets into user-friendly formats for stakeholder use
• Tenacity to find/hunt down data sources and build contacts across the sponsor organization,
• Experience developing presentations and providing briefings to non-technical audiences
• Excellent oral and written communication skills, as well as data visualization techniques

Desired Skills/Abilities

• Experience designing and implementing organizational or programmatic performance measurement strategies
• General understanding of emerging technologies and high-performance computing
• Ability to analyze information and identify second-order implications to processes
• Experience in qualitative research and program evaluation activities
• Experience with change management
• General familiarity with one or more of: natural language processing, transformer architectures, machine vision (object detection, facial recognition), one-shot learning, reinforcement
• Experience developing and deploying capabilities on an airgapped network

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.

• 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