Job Description

About Fraym

Our company has pioneered the use of geospatial data to understand population dynamics. Governments and organizations around the world rely on Fraym data to make strategic and operational decisions while tackling challenges like inequity and insecurity, climate vulnerability, public health, and more. Our advanced AI/ML models are the first to generate high-resolution insights about human characteristics and behaviors at the sub-neighborhood level and make them commercially available at scale.

Summary of Position

Fraym is seeking several data analysts to play a vital role in the mission of supporting decision-making for our public sector defense customers.

As part of the Fraym Analytics Team, you will deliver tailored insights, craft impactful visualizations and stories from data, and collaborate across teams to generate or improve methodologies. The role is poised for significant career growth.

For success in this position, you will have a strong quantitative background, an ambitious mindset, and enthusiasm for connecting with Fraym’s global team.

Preference will be given to applicants with a U.S. security clearance, experience in the national security sector, experience working with statistical packages (Stata and/or R), language skills and/or knowledge of geospatial analysis.

Your responsibilities in this role include, but are not limited to, the following:

• Applying data, communication, and inquiry skills to frame and address use cases in support of customized engagements for the United States national security sector.
• Preparing analytical products, including presentations, briefings, and other materials.
• Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations.
• Working with different types of datasets (large household surveys, conflict data, and attitudinal data) to expand, deepen, and refine the Fraym data platform.
• In addition to the defense analytics products, you will work with the broader Analytics team on projects across our international development and commercial sectors.

The candidate must have the following qualifications and skills:

• Essential software skills: Stata, R, and/or Python for descriptive and econometric analysis of micro-data.
• Experience applying quantitative methods for analysis (may include school projects).
• S. citizen. Active security clearance is a big plus.

The successful candidate will have the following qualifications and skills:

• Bachelor’s or master’s degree in a related field, such as economics, statistics, strategic studies, geography, or public polic
• Training in statistical methods, econometrics, and/or geospatial analysis.
• Experience and interest in an array of national security issues (e.g., global power competition, extremist violence, and humanitarian operations).
• Understanding how to draw insights from data for technical and non-technical audiences.
• Excellent communication and writing skills.
• Eager to learn; bring creativity, confidence, and can-do attitude to problem-solving.
• Ability to advance discrete projects both independently and in coordination with others.
• Strong interpersonal skills, including collaboration with a team and ability to interact with senior executives.
• Good attention to detail.
• Foreign language skills are a plus (in particular Mandarin, Russian, Arabic, and other Asian languages).
• PowerPoint, R, ArcGIS/QGIS (or other geospatial data platforms), Python, machine learning, or other software skills are a definite plus.

Fraym recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.

Fraym offers a competitive salary commensurate with experience, a full benefit package, dedication to professional development, and a flexible work environment.

We would love to hear from you.

Please submit a resume, cover letter, and sample quantitative research project (security related is preferred, but not required; can be a school project) using this link. For any questions, please contact

jo**@fr***.io











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How to Apply

Job Categories: Equal Opportunities. Job Types: Full-Time. Salaries: Not Disclosed.

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