BUSINESS WITH A PURPOSE

Empowering decisions with human-centric intelligence.

HOW WE WORK

Our team is passionate about data. We work creatively to help organizations better understand the people in countries, cities, and communities that have been traditionally hard to access. Here, office life is a combination of constructive collaboration and focused productivity.

three Fraym team members working together at desk
Fraym team picture with all employees

OUR VALUES

We believe the greatest innovations arise when different disciplines, perspectives, and experiences converge. As a company, we live these values that push us toward discovery.

Diversity Empathy
Integrity Ingenuity
Purpose Collaboration
Delight Candor

WORKING & GROWING

We want people at Fraym to be healthy and happy.
Below are some of the benefits we provide to promote work-life balance.

Flexible Workplace
Flexible Workplace
Team Activities
Team Activities
Commuter Stipends <br><i>for parking or metro</i>
Commuter Stipends
for parking or metro
Free Gym Membership
Free Gym Membership
Health, Dental, & Vision Insurance
Health, Dental, & Vision Insurance
about-professional-development

PROFESSIONAL DEVELOPMENT

We are committed to the professional development of all Fraym employees. In addition to trainings, conferences, and connections to an elite network, we offer a Continent Immersion Program (CIP). CIP is a company sponsored trip that allows employees to immerse themselves in the markets, cultures, and geographies we serve.

OPEN POSITIONS

If the intersection of data science, business, and international affairs sounds like the place for you, let us know why. We’re looking for talented folks to join our expanding team.

Data Analyst
Fraym is a geospatial data company that uses proprietary machine learning algorithms to deliver precise, local-level information about people in Africa, Asia, and Latin America. The company helps fast-growing companies, government agencies, and development organizations succeed in places where data has been traditionally hard to access. Fraym’s granular data adds an entirely new dimension to strategic and operational planning discussions, and answers questions like, ‘where are concentrations of my target beneficiaries?’, and ‘what services do they need?’. 
 
Fraym is seeking several associate data analysts and data analysts to play a vital role in the mission of supporting decision-making in developing countries. 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, experience working with statistical packages (Stata or R), an ambitious mindset, and enthusiasm for connecting with Fraym’s global team. Preference will be given to applicants with knowledge of geospatial analysis or machine learning, working proficiency in French, and/or experience in emerging economies.
 
Your responsibilities in this role include, but are not limited to, the following:
    • Working with large household survey datasets to expand, deepen, and refine the Fraym data platform.
    • Applying data, communication, and inquiry skills to frame and address use cases in support of customized engagements for government agencies, development organizations, and commercial enterprises.
    • 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.
 
The successful candidate will have the following qualifications and skills:
    • Bachelor’s or master’s degree in a related field, such as economics, statistics, international development, or public policy.
    • One or two years of experience applying quantitative methods is preferred but not required.
    • Training in statistical methods, econometrics, and/or geospatial analysis. Understanding how to apply quantitative skills to answer questions.
    • Essential software skills: Stata or R for descriptive and econometric analysis of micro-data from household surveys. R, ArcGIS, or QGIS for production of polished maps. PowerPoint, Python, machine learning, or other software skills are a definite plus.
    • 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.
    • Good attention to detail.
    • Additional language skills are a definite plus, including French and Portuguese.
    • Experience and interest in emerging markets across Africa, Latin America, Middle East, and/or South and Southeast Asia.
    • Strong interpersonal skills, including collaboration with a team and ability to interact with senior executives.
    • Previous experience or background in any of the following thematic areas is a definite plus: conflict and security, health, environment and climate, or agriculture.
Fraym recruits, employs, trains, compensates and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, 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 Stata .do file or R script, and quantitative work sample (such as a polished map or analytical report).
 
Data Scientist
Fraym is a geospatial data company that uses proprietary machine learning algorithms to deliver precise, local-level information about people in Africa, Asia, and Latin America. The company helps fast-growing companies, government agencies, and development organizations succeed in places where data has been traditionally hard to access. Fraym’s granular data adds an entirely new dimension to strategic and operational planning discussions, and answers questions like, ‘where are concentrations of my target beneficiaries?’, and ‘what services do they need?’. 
 
Fraym seeks a data scientist interested in maintaining and expanding our training data pipeline. You will be responsible for managing the acquisition and ingest of data sources -- including market research panels and household surveys -- generating and executing data cleaning protocols, and assisting in the design and implementation of a flexible data storage solution.
 
You will ultimately be committed to building and updating Fraym’s database and platform, including the acquisition and processing of non-traditional data e.g. social media and streaming. With this critical team role, you will be in a position for significant career growth and impact with opportunities to contribute to data architecture and modeling.
 
You will have a background in working with and manipulating household/panel data sets and demonstrated skill generating reproducible code. Preference will be given to applicants with experience working with unstructured/semi structured data, building SQL databases, and/or doing research in data poor environments.
 
You will perform a range of duties including, but not limited to:
    • Maintaining and advancing Fraym’s data acquisition pipeline in coordination with business development and new market opportunities
    • Create and apply quality assurance standards and protocols to assess applicability and limitations for Fraym use-cases
    • Building a reproducible approach to efficiently process, query, and access household/market research/panel data type surveys 
    • Searching for paid and open source data to update and advance Fraym’s approach and methods
    • Designing processes and systems to identify and meet the data needs of various internal stakeholders such as analytics, data science, and go-to-market teams
 
You will have the following qualifications and skills:
    • Bachelor’s or master’s degree in a related field
    • At least one-year work experience is preferred but not required
    • Training in survey data analytics (including awareness of household, panel, and market research survey landscape), structuring/querying SQL databases, and/or working with messy /unstructured data
    • Experience using python, R, and/or SQL, and some familiarity with cloud-based systems i.e. Amazon Web Services (AWS). Note: this position offers significant growth for technical skill; if you have experience in at least one of the areas listed, we encourage you to apply.
    • Mission-driven and motivated to advance projects independently and without oversight, as well, as collaborate and communicate with a small team of widely varying areas of expertise 
    • Strong interpersonal skills and ability to interact with senior executives
Not sure you tick all the boxes? We encourage you to apply. We have a culture of learning, and if this job description sounds exciting, we’d love to hear from you.
 
Fraym offers a competitive salary commensurate with experience, a full benefit package, dedication to professional development, and a flexible work environment.
 
We are also excited to announce that Fraym’s office location will be moving from McLean, VA to Arlington, VA directly across from the Clarendon metro station in August of 2020!
 
Fraym recruits, employs, trains, compensates and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, family status, veteran status, and other protected status as required by applicable law.
 
Interested applicants should submit their application with a resume, cover letter, and sample work product.
 

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