Orbis is seeking an innovative Data Scientist with a TS/SCI clearance with polygraph to join a bespoke data science effort at a high-profile customer. The 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 Data Scientist will support a variety of efforts not restricted to a singular geographic region or language. 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. 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.

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

Education & 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

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
Proficiency in one or more programming languages, preferably including Python
Demonstrated ability to manipulate large data sets into user-friendly formats for stakeholder use
Tenacity to find/hunt down data sources and build contacts across the sponsor organization,
General understanding of statistics, vector mathematics, and probability
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
Ability to analyze information and identify second-order implications to processes
Experience in qualitative research and program evaluation activities
Experience with change management
Experience with Amazon Web Services, Cloudera Data Warehouse, Microsoft Azure, or similar
Familiarity with Apache Spark, MapReduce, Dask or similar parallel computer technologies
General familiarity with one or more of: natural language processing, transformer architectures, machine vision (object detection, facial recognition), one-shot learning, reinforcement
Solid background in statistics and/or mathematics (particularly linear algebra and calculus), preferably including sampling and bias measurement and mitigation.
Experience developing and deploying capabilities on an airgapped network
Previous experience with other career fields within the sponsor's purview and/or a non-Western language is a significant bonus.

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.

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