GD has raised over $800M since launching in 2011, delivered cash to more than 1 million people, and launched offices in 11 countries. We’ve also supported 19 large-scale, experimental research projects that indicate strong recipient impact of our programs – including the largest universal basic income experiment in history. We use concrete evidence to inform the design of our programs: from research results published in leading journals, to in-depth qualitative work. As a result, GD has been celebrated as one of the most innovative non-profit companies by , while the growing cash transfer movement (and GD’s leading role within it) have been featured in the , , , and .
We’re looking for exceptional talent to grow our collaborative, diverse team. Joining GiveDirectly provides the opportunity to work alongside individuals who come from 21 different countries and speak 69 different languages. We’re actively working toward an equitable and inclusive environment for all team members, and seek candidates who will bring diverse perspectives and experiences to our organization. We recruit from organizations across all industries: our team has hailed from sectors including start-ups, government, consultancies, investment banks, and nonprofits.
Across our global offices, our culture is candid, analytical, non-hierarchical, and fast-paced. We value ability, adaptability, and willingness to learn. We offer competitive salary and benefits, as well as performance-based bonuses.
About the Field Data team
As we scale to reach millions of people experiencing extreme poverty, we believe that data can transform cash delivery by:
- Improving recipient experience
- Increasing operational efficiency
- Mitigating risk
- Conveying our impact to donors
You will be the Field Data team’s first Data Scientist, reporting to the Senior Data Manager and working closely with the Senior Data Architect. This is an opportunity to join at the inception of the team and guide foundational decisions regarding vision, priorities, and best practices. We are a small (but growing) group with a startup mentality, applying engineering best practices and a product development approach to data.
Our data infrastructure is built on AWS and Databricks, with dashboards and visualizations in Tableau. We primarily use SQL, Python, and R.
About this role
You will deliver insights and decision making tools that help shape cash delivery by determining which projects we take on, how we design them, and how we implement them.
Responsibilities include:
- Statistical analysis and predictive modeling. Own process end-to-end: implement statistical methods and build, train, and deploy predictive models to solve problems in cash delivery utilizing code (e.g., Python, R). Current priorities:
- Targeting. Implement and improve existing machine learning algorithms predicting poverty level from call-detail records (CDR) and geospatial data. This work enables us to remotely identify eligible recipients at scale, and has been highlighted in
- Communication. Collaborate with leaders throughout the organization to define data product requirements, educate them about solutions, and make recommendations.
This role is fully remote but must overlap with an East Africa timezone by at least 4 hours.
Reports to: Senior Manager, Data
About you
You are an analytical problem solver who knows how to:
- Frame a testable question from ambiguous requirements
- Gather, clean, and manipulate the required data
- Deliver answers that directly inform important decisions
- Solving for user needs and constraints
- Understanding when to build complex models and when simpler solutions are more appropriate
- Communicating takeaways clearly
You are a mid-level to Senior Data Scientist with the following qualifications.
Required qualifications:
- 5+ years experience working with data querying languages (e.g., SQL) and statistical modeling software (e.g., Python, R)
- 5+ years experience as a Data Scientist or related position applying statistical and/or machine learning (ML) techniques, with a deep understanding of the key parameters that affect their performance
- Deep understanding of ML algorithms – ability to apply the appropriate methods, as well as benchmark and diagnose predictions to rapidly improve performance
- Proficient in spark, dask, and/or other packages for distributed computing
- Ability to travel and deploy to international, on premise locations for up to 1 month at a time
- Bachelor's degree in a STEM or other quantitative field
- Advanced degree in a STEM or other quantitative field
- Experience analyzing call-detail records, geospatial (e.g., ArcGIS or Python geospatial stack), and/or social network data
- Experience developing an end-to-end machine learning pipeline with a scalable ML framework (TensorFlow, Torch, H2O, Spark MLib, scikit-learn)
- Familiarity with cloud-based solutions (AWS, GCP etc.) for storing and processing large, terabyte-scale, datasets
- Familiarity with poverty measurement methodologies – e.g., geographic poverty, poverty proxies, common administrative data sources, household survey data
- Experience building dashboards and visualizations, preferably in Tableau
- Experience mentoring and developing teams of Data Scientists
About the hiring process
Format: The hiring process follows the same general outline for all open roles:
First interview (30 mins) Take home skills assignment (~2 hours) Second interview (1 hour)* Third interview (1 hour)* Final interview (1 hour) Reference checks (30 mins each)
*For some roles, second & third interviews are combined into a panel interview. If there are adjustments or variations on this process, those changes will be communicated during the first interview.
Venue: We conduct interviews over Google Meet with camera on (unless communicated otherwise).
Accessibility: Closed captioning is available during all Google Meet interviews, and interviewers will also post interview questions in the chat box throughout the call. If you need assistance accessing either of these features, please let your interviewer know at the start of your interview!
We’re committed to running an inclusive and accessible application process for all of our open roles. If there are questions or concerns you have about the accessibility of our hiring process, we warmly invite you to reach out to careers@givedirectly.org.
**GD is committed to observing all local, national and international laws that protect children, vulnerable adults, and basic human rights of all. GD is committed to a policy of “zero tolerance for sexual exploitation, abuse, and harassment (SEAH)” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
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How to apply
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