About FraymFraym generates precise, localized data on demographics, attitudes, and behaviors, down to the town or village level. Organizations worldwide use our geospatial data to understand social and economic dynamics, design effective programs, and monitor investments across public health, economic development, climate resilience, security, and humanitarian response. Through survey research, geospatial analysis, and AI/ML, we are building scalable data infrastructure for mapping humanity.
Summary of PositionFraym is seeking a mid-to-senior level Data Scientist to amplify our team’s NextGen R&D capabilities. Your contributions will support the mapping of demographic and behavioral patterns across some of the world’s most data-scarce regions. Your work will be split between highly complex, large experiments (75%) and technical mentorship (25%) responsibilities.
We are seeking candidates with a strong data science background and experience working in highly collaborative small teams. Preference will be given to applicants with experience in leveraging models to predict survey and/or geospatial data.:
Your responsibilities include the following:
- Independently developing workflows and identifying new model applications for company-identified use-cases
- Contributing to the development of product offerings and capabilities such as machine learning applications, data subscription packages, and inventive data visualizations
- Serving as a technical resource within the data teams across Fraym, including software engineer, project managers, and technical analysts who are responsible for deploying new and improved methods at scale
- Collaborating with data science team leadership to determine, drive, and pivot the data science team within the context of our organizational mission
You will have the following qualifications and skills:- Master’s Degree or PhD in a related field
- At least 5 years of working in a data science context, including technical mentorship in a data science, or adjacent, industry
Essential skills:- Experience applying and experimenting with a variety of AI models and LLMs in a professional context
- Working in the nitty gritty of Machine Learning modeling, particularly in validation and interpretation
- Communicating methodology to non-technical audiences
- Cloud computing environment (AWS)
Nice to have:- Experience with GIS/geostatistics and/or complex survey design
- Knowledge management experience
- Experience working with or in the defense sector
LocationFully remote within the USA, with travel once or twice a year for retreats and conferences.
Compensation & BenefitsSalary range: 119,000 - 160,000 USD; actual salary is commensurate with experience, and fit.
· Annual performance bonus
· Comprehensive medical, dental, and vision insurance (US)
· 401(k) program (US), flexible PTO, professional development opportunities
· Remote-first culture with annual retreats
Hiring Process1. HR Screen (20 minutes)
2. Introductory conversation with the Deputy Director of Data Science (45 minutes)
3. Data Case – to be completed the week of final interview and presented to the team in Step 4. (1-2 hours)
4. Data Case presentation & discussion with the Data Science team (60 minutes)
5. Reference checks and offer
We prioritize diverse backgrounds and growth mindsets at Fraym. If you are curious about learning more or think you could be a good fit for our team and company mission, we would love to hear from you.
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? Please submit your application with a resume, a link to your work portfolio demonstrating your technical skill, and short statement answering “Why Fraym.”
Not sure you tick all the boxes? We encourage you to apply. We have a learning culture, and if this job description sounds exciting, we’d love to hear from you.
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.