Research Data Scientist

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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