HOW WE WORK
Our team is passionate about data. We work creatively to help organizations better understand the people in countries, cities, and communities with large data gaps. Here, work life is a combination of constructive collaboration and focused productivity.
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
Team Activities
Commuter Stipends
for parking or metro
for parking or metro
Free Gym Membership
Health, Dental, & Vision Insurance
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 Architect
Arlington, VA, US /FRAYM – DATA SCIENCE /FULL TIME
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 a data architect to support data management and enable data science workflows at scale. Your contributions will support decisions made in emerging markets across commercial, international development, and intelligence sectors.
You will be part of team responsible for implementing Fraym’s new data management platform (DMP) and will play a critical role in scaling our existing solutions. You will be responsible for implementing core components of the DMP, managing data migration, and designing a roadmap for Fraym’s future data architecture.
You should have a strong background in data modeling and experience building cloud-based data systems and applications. We are looking for someone who can think of and implement creative solutions to managing diverse and messy data. Preference will be given to applicants with additional experience in designing APIs and/or building ETL pipelines.
Your responsibilities will include, but are not limited to, the following
- Designing and building AWS-based data management systems that integrate household surveys, satellite imagery, and other spatial data
- Maintaining data infrastructure and improving data management practices
- Working with data scientists to outline data requirements for tools that simplify internal data discovery and analysis
- Collaborate with business development and client facing teams to expand external data delivery options
- Providing support for cloud processes and standards across the company
You will have the following qualifications and skills:
- Bachelor’s or master’s degree in a related field
- At least 2 years of data architecture and/or data engineering work; preference will be given to applicants with practical experience building and maintaining cloud-based data management systems
- Essential skills: Experience with databases, cloud computing environments (particularly AWS), and Python
- Enjoy advancing projects both independently and collaboratively
- Ability to quickly develop technical skills and learn new tools with minimal mentorship and supervision
- Desire to work for a mission-based company
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 and a full benefits package.
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. For qualified applicants, Fraym also offers visa sponsorship of international candidates.
Interested? Please submit your application with a resume and short statement answering “Why Fraym.”
We will begin contacting applicants November 2nd.
Data Engineer
Arlington, VA, US /FRAYM – DATA SCIENCE /FULL TIME
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 a data engineer to improve our data management practices and enable data science workflows at scale. Your contributions will support decisions made in emerging markets across commercial, international development, and intelligence sectors.
You will be part of team responsible for implementing Fraym’s new data management platform (DMP) and will play a critical role in scaling our existing solutions. You will be responsible for transitioning new and existing data pipelines into the DMP, identifying and brainstorming solutions for gaps in the DMP architecture and contributing to the creation and maintenance of data pipelines for survey and raster datasets.
You should have a strong background in data engineering and experience building cloud-based data pipelines and applications. We are looking for someone who can think of and implement creative solutions to managing diverse and messy data. Preference will be given to applicants with additional experience in managing databases and/or building ETL pipelines, particularly for data with spatial attributes, including raster data.
Your responsibilities will include, but are not limited to, the following
- Designing ETL pipelines that ensure the quality, consistency, and availability of data used in machine learning workflows
- Contributing to the design and implementation of AWS-based data management systems that integrate household surveys, satellite imagery, and other spatial data
- Working with data scientists to create tools that simplify internal data discovery and analysis
- Collaborate with business development and client facing teams to expand external data delivery options
Your responsibilities will include, but are not limited to, the following:
- Bachelor’s or master’s degree in a related field
- At least 2 years of data engineering and/or data science work; preference will be given to applicants with practical experience building and maintaining cloud-based data processing pipelines
- Essential skills: Experience with databases, Python, engineering best practices (testing, deployment management, containerization)
- Desired skills: AWS Batch, NoSQL databases (Hbase), distributed and/or parallel processing of data (Spark, Dask), GeoNode family of tools
- Enjoy advancing projects both independently and collaboratively
- Ability to quickly develop technical skills and learn new tools with minimal mentorship and supervision.
- Desire to work for a mission-based company
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 and a full benefits package.
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. For qualified applicants, Fraym also offers visa sponsorship of international candidates.
Interested? Please submit your application with a resume and short statement answering “Why Fraym.”
We will begin contacting applicants November 2nd.
Data Scientist -- Methods
Arlington, VA, US /FRAYM – DATA SCIENCE /FULL TIME
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 a data scientist to grow our analytical product offerings and improve predictive algorithms in a small data context. Your contributions will support decisions made in emerging markets across commercial, international development, and intelligence sectors.
You should have a strong data science background and experience applying modelling techniques to a practical use case. If you enjoy having the opportunity to build client-driven solutions from data wrangling to delivered product, this position is for you. Preference will be given to applicants with experience in algorithm design, analytic solutions, and/or spatiotemporal modeling.
Your responsibilities will include, but are not limited to, the following:
- Testing new methods and approaches to build better sociodemographic predictions in markets with limited training data
- Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations
- Developing workflows and identifying new applications of methodologies for company-initiated use-cases leveraging multiple data sources, as well as generalizing methodologies developed in-house
- Managing and growing research projects from inception to full scale workflows, products, and applications
- Working within interdisciplinary project teams to drive data driven decision-making by building and scaling predictive models
You will have the following qualifications and skills:
- Bachelor’s or master’s degree in a related field.
- At least 2 years of data science and/or data analyst work; preference will be given to applicants with practical experience applying data science tools and methods in a social science context.
- Essential skills: Python (sklearn, numpy, etc.) and/or R (tidyverse, caret, etc.), and working in a cloud computing environment (AWS).
- Experience with or interest in geospatial data (vector and raster)
- Enjoy advancing projects both on one's own and collaboratively
- Ability to quickly develop technical skills and learn new tools with minimal mentorship and supervision.
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 and a full benefits package.
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. For qualified applicants, Fraym also offers visa sponsorship of international candidates.
Interested? Please submit your application with a resume and short statement answering “Why Fraym.”
Senior Full-Stack Software Engineer
REMOTE / FRAYM – PRODUCT DELIVERY / FULL-TIME
Fraym is a geospatial data company that uses proprietary machine learning algorithms to deliver precise, community information about people in emerging economies. 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 my target populations?’, and ‘what services do they need?’.
We are looking for a Senior Full-Stack Software Engineer with a knack for quality design and usability and an interest in geospatial data to join our product development team.
You will have a range of responsibilities including the following:
- Evaluate internal and customer priorities to develop software-based solutions;
- Communicate with current and prospective users and stakeholders to understand evolving needs and customer concerns;
- Translate analytical outputs and data into relatable and actionable software and user interfaces;
- Contribute to building the roadmap of the product: GitHub issue creation, epic/sprint evaluation, backlog grooming, etc;
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Write maintainable code and offer PR reviews;
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Write unit and smoke tests for all portions of our applications;
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Identify usability issues and suggest improvements;
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Monitor and improve on internal systems and practices related to code workflow and peer review;
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Create markdown documents to help new engineers and developers get started with our tools and projects;
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Explore and build new product and data delivery tools and mechanisms to integrate into customer systems and workflows;
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Mentor team members on software engineering best practices;
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Support Go-to-Market and Project teams as required;
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Identify and automate software deployment processes.
Required Qualifications:
- Experience working in a remote setting and across multiple time-zones – the Fraym team is internationally distributed;
- Fast learner, i.e.: you routinely pick up new languages or leverage frameworks;
- Ability to collaborate with external consultants;
- At least 8 years of experience building web-based software products;
- Self-motivated and independent but comfortable working with a diverse team;
- Persistent and with desire to solve both technical problems and learn deep business concepts;
- Good understanding of user-centered design principles and methodologies;
- Good understanding of data structures and geospatial concepts;
- Experience working with GIS technologies, e.g.: Mapbox GL JS, Carto, PostGIS, etc.;
- Experience with CSS frameworks like Bootstrap or Foundation;
- At least 5 years of working experience with mainstream frameworks such as Django, Spring MVC, or Ruby on Rails;
- Comfortable working with datasets stored within RDBMS and spreadsheets;
- At least 5 years of experience building UIs based on Angular 4 (and/or higher) or React.
Preferred Qualifications:
- Interested in African and emerging market development work;
- Experience working in or with young, early-stage companies.
Benefits:
- Great compensation package, including base salary, and annual performance bonus;
- Medical, dental, vision, and other ancillary benefits;
- Opportunities for significant career advancement in a fast-growing young company;
- Opportunity to contribute and build a company and team culture;
- Flexible paid time off;
- Flexible location and work environment.
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 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.