Research Data Scientist
Location: Arlington, VA, US
Job ID: ATR 18071
Job Description
Job Title: Research Data Scientist
Job Location: Arlington, VA
Compensation: $170,000 - $220,000
Eligibility/Clearance: Candidate must possess an active TS/SCI clearance
and be willing to obtain a CI Polygraph
Job Description:
The successful candidate will support the program manager (PM) on
managing an innovative computing program from start to finish. In this
capacity, the candidate will evaluate the technical progress of
performers, provide feedback to the PM and to the performers, advise the
PM on overall program planning, prepare summary briefing materials for
the PM, and coordinate program reviews and meetings. The candidate will
also support new program development by helping to address the Heilmeier
criteria, performing background literature reviews and research, and
preparing briefings and documentation.
Expert knowledge and experience in the following areas are desired
quantitative economic modeling, advanced econometrics, and network data
science/data engineering applied to complex adaptive systems.
Oversee the design, evaluation, and application of quantitative
economic models, network analysis frameworks, and graph-based data
integration architectures
Oversee the integration of complex, multi-source intelligence and
economic datasets into scalable, operational analytical pipelines
Analysis of emerging science and technology R&D opportunities
through literature review; outreach to the research community;
summarizing, analyzing, and visualizing data in spreadsheet and
graphical forms
Generating briefing materials and agency documents required for new
program approval
Program management at all stages over the program lifecycle
including BAA drafting; feedback on proposals; interactions with
proposers and performers; meeting organization and participation;
transition partner and industry partner engagement
Lead periodic performer assessments to analyze findings, assess
technical and schedule risks; develop management strategies;
communicate findings to program manager
Technical evaluations and guidance on reports, briefings, and other
performer communications
Presentation and report preparation
Program administration, including development of technical analyses,
identification of technology gaps, technical risk management,
project cost estimation, technology transfer efforts, as well as
supporting technical reviews
Attending and organizing program reviews/site visits/field tests
Skills/Qualifications:
Required:
Master's degree or PhD in Economics, Data Science, Applied
Mathematics, or a related quantitative field
5+ years of relevant experience in quantitative economic modeling,
advanced econometrics, and network data science/data engineering
applied to complex adaptive systems
Demonstrated experience in large-scale data processing, multi-source
data pipeline integration, and managing structured/unstructured data
architectures
Practical experience with graph analytics, network modeling tools,
and interconnected data architectures (e.g., Python/R quantitative
libraries, graph databases, or network science frameworks)
Strong background working within or alongside the U.S. Intelligence
Community (IC), including familiarity with IC mission environments,
data workflows, and intelligence-derived datasets
Understanding of diverse data sources across global economics,
financial networks, trade flows, defense industrial supply chains,
and multi-INT sources
Strong communication skills-both written (including executive
PowerPoint briefs) and oral-with the ability to translate complex
econometric and data models for senior defense stakeholders
Desired:
Active Special Access Program (SAP) access and experience working at
TS/SCI and SAP levels
Experience with defense industrial base analysis, economic
statecraft, strategic competition modeling, or macroeconomic
resilience metrics
Hands-on experience building decision-support tools, AI/ML-enabled
analytical tools, cloud data engineering workflows, or large
language model (LLM) research pipelines
Prior background supporting new program start-ups, pilot
demonstrations, and transition pathways within defense or
intelligence organizations
Experience in high paced private sector quantitative production
environment such as systematic investing or trading, real time ad
technology development or pharmacological optimization and
customization
Demonstrated ability to bridge communication and technical execution
across academic economists, data engineers, software developers, and
operational intelligence analysts
-
Education:
Master's degree or PhD in Economics, Data Science, Applied
Mathematics, or a related quantitative field
ATR is an Equal Opportunity Employer (EOE) who will provide equal
employment opportunity to employees and applicants for employment
without regard to race, ethnicity, religion, color, sex, pregnancy,
national origin, age, veteran status, ancestry, sexual orientation,
gender identity or expression, marital status, family structure, genetic
information, or mental or physical disability
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