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Form of workJob Description
About Fraym
Fraym generates precise data about what people look like, what they think, and how they behave at any geographic level, including down to the town or village level. Organizations around the world use our location-based data to understand social and economic dynamics, design comprehensive programs, and monitor and evaluate investments that national statistics and polling data cannot reveal. Fraym has developed replicable and highly scalable methods for producing actionable and comparable data across any geography of interest. Driven by our work with partners like the Bill and Melinda Gates Foundation, World Bank, African Development Bank, UNDP, and other global institutions, we now produce and deliver critical novel datasets for key policy and advocacy issues. These span categories such as equitable COVID-19 vaccine allocation, inclusive renewable energy access, inclusive economic recovery, and combating misinformation.
Summary of Position
Join Fraym as an Associate Analyst and become a key role in our mission of data-driven decision-making. Working within our dynamic Product team, you'll contribute to producing high-resolution geospatial data through the utilization of custom surveys, machine learning tools, and Python and R scripts. This entry-level role offers significant opportunities for career growth, and directly reports to the Team Lead on the Product team.
To excel in this role, you'll need:
A quantitative or technical background.
A strong research orientation.
Familiarity with R and/or Python.
Attention to detail.
A collaborative mindset.
A passion for continual learning.
Preference will be given to candidates with expertise in geospatial analysis, statistics, surveys, machine learning, and multilingual capabilities.
Location
While the position is fully remote, we ask that candidates reside between the UTC-8 and UTC+3 time zone range (North America, South America, Europe, Africa).
Your responsibilities include the following:
Conduct comprehensive research on both new and existing countries within our portfolio.
Support the designing of multi-modal surveys, ensuring robust data collection strategies.
Utilize Fraym’s machine learning models to derive insightful geospatial datasets.
Contribute to product enhancements and engaging in R&D experiments.
Create presentations and briefings to diverse audiences.
Document team processes and findings in the team’s Git repository and knowledge management system.
Provide constructive feedback to leadership to enhance team effectiveness.
Embrace and promote a positive team and company culture.
Required qualifications
Genuine interest in Fraym’s mission of Mapping Humanity
Commitment to diversity, equity, and inclusion.
Bachelor’s degree in a related field, such as mathematics, economics, geography, statistics, development, or public policy with a strong quantitative focus.
Some understanding of data engineering, data science, statistical methods, econometrics, and/or geospatial analysis.
R or Python for descriptive and econometric analysis.
Experience applying quantitative methods for analysis (may include school projects).
Draw insights from data for technical and non-technical audiences.
Eager to learn; bring creativity, and a can-do attitude to problem-solving.
Ability to work independently and collaborate in a remote environment.
Strong attention to detail and interpersonal skills.
Ability to work with integrity and accountability with regular and clear communications with multiple stakeholders.
Bonus qualifications
Google Sheets, Google API, machine learning or other data engineering skills.
Experience automating redundant tasks using Python or R.
R, Python, ArcGIS, or QGIS for geospatial analysis.
Experience with survey design and methods. May include school projects.
Language skills (Mandarin, Russian, French, Spanish, Arabic).
Benefits
Competitive, market-based compensation and annual performance bonus.
Professional development and learning opportunities.
Stay healthy and happy through our comprehensive medical, dental and vision insurance.
Take time away from the office through our flexible Paid Time Off (PTO).
We are committed to fostering a positive work-life balance.
Be a part of a community and take part in our “lunch & learns” and team outings.
We are a “growth culture” that provides opportunities for career advancement and professional development in a fast-growing 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. Join us and be a part of shaping the future of mapping humanity.
Please submit the job application through our web portal, a resume, a brief cover letter, two references, and a quantitative research project or sample R or Python script showing relevant technical skills using this link.
For any questions, please contact jobs@fraym.io.
Recruiting Process:
Phone screening with Team Lead or VP of Product (50 mins.)
A “day-in-life” interview with the Team Lead or VP of Product (50 mins.)
Data case at your availability (we ask you spend no more than 8 hours)
Presentation of the data case to the team (80 mins.)
Speak with CEO
Reference check
Offer (contingent on reference check)
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.
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.
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