Researcher

For over 100 years, Brookings experts have conducted high-quality, independent research and produced innovative policy solutions for the nation and world. Brookings is proud to be consistently ranked as the most influential, most quoted and most trusted think tank. Join us: Follow us on Twitter at www.twitter.com/brookingsinstLike us on Facebook at www.facebook.com/brookings For the latest employment opportunities, visit  you know? Since 2008, the Brookings Institution has been ranked Think Tank of the Year in the University of Pennsylvania Global Go-To Think Tank Report. The Report ranks more than 6,500 institutions worldwide that help bridge the gap between knowledge and public policy.

The Brookings Institution is seeking a Research Assistant or Senior Research Assistant to support research projects within The Hamilton Project. The role involves conducting literature reviews, data analysis, preparing reports, and assisting with policy research efforts. The position offers an opportunity to contribute to influential policy discussions and work alongside leading experts in the field. Responsibilities include data management, statistical analysis, and supporting the development of policy proposals. The ideal candidate will have strong research skills, attention to detail, and a passion for public policy.

The role involves supporting research projects and analysis at the Brookings Institution's Hamilton Project.

Research Assistant or Senior Research Assistant

The Brookings Institution is seeking a Research Assistant or Senior Research Assistant to support research projects within The Hamilton Project. The role involves conducting literature reviews, data analysis, preparing reports, and assisting with policy research efforts. The position offers an opportunity to contribute to influential policy discussions and work alongside leading experts in the field. Responsibilities include data management, statistical analysis, and supporting the development of policy proposals. The ideal candidate will have strong research skills, attention to detail, and a passion for public policy.Requirements:<ul><li> Bachelor's degree in economics, public policy, political science, or related field; master's preferred.</li><li> Experience with data analysis and statistical software such as Stata, R, or Python.</li><li> Strong written and verbal communication skills.</li><li> Ability to work independently and as part of a team.</li><li> Attention to detail and organizational skills.</li><li> Interest in public policy and economic research.</li></ul>Benefits:<ul><li> Health insurance</li><li> Dental and vision coverage</li><li> Retirement plan options</li><li> Paid time off (PTO) and holidays</li><li> Parental leave</li><li> Flexible work arrangements</li><li> Professional development opportunities</li></ul>

Brookings

Research Assistant or Senior Research Assistant The role involves supporting research projects and analysis at the Brookings Institution's Hamilton Project. The Brookings Institution is seeking a Research Assistant or Senior Research Assistant to support research projects within The Hamilton Project. The role involves conducting literature reviews, data analysis, preparing reports, and assisting with policy research efforts. The position offers an opportunity to contribute to influential policy discussions and work alongside leading experts in the field. Responsibilities include data management, statistical analysis, and supporting the development of policy proposals. The ideal candidate will have strong research skills, attention to detail, and a passion for public policy. Researcher AI Research Scientist Brookings research-services public-policy-offices professional-organizations non-profit-organizations think-tanks education social-networking-platforms non-profit non-profit-services non-profits politics public-policy public-relations research think-tank training

This position supports research activities and policy analysis at the Brookings Institution. It involves data collection, analysis, and contributing to reports and publications.

Data Scientist

GoodParty is a political organization and nonprofit focused on empowering voters and increasing civic engagement through technology and grassroots organizing. Founded in 2020, the organization aims to provide tools and resources that help individuals participate more effectively in the democratic process. GoodParty develops digital platforms to facilitate voter registration, education, and mobilization, striving to create a more informed and active electorate. Their mission centers on strengthening democracy by making political participation accessible and impactful for all citizens.

The Senior Political Data Scientist at GoodParty.org is responsible for developing, testing, and refining quantitative models of electoral outcomes, modeling constituencies, implementing public opinion measurement methods, designing surveys and experiments, and improving electoral and public service outcome measurements. The role involves analyzing public opinion data, identifying new data sources, collaborating with engineering and product teams, and continuously improving political models. The position reports to the Research Director and requires working independently within a small research team to achieve measurable results and model accuracy improvements.

The role involves developing and refining quantitative models to support independent candidates and improve electoral outcomes using political data and experiments.

Senior Political Data Scientist

United States

The Senior Political Data Scientist at GoodParty.org is responsible for developing, testing, and refining quantitative models of electoral outcomes, modeling constituencies, implementing public opinion measurement methods, designing surveys and experiments, and improving electoral and public service outcome measurements. The role involves analyzing public opinion data, identifying new data sources, collaborating with engineering and product teams, and continuously improving political models. The position reports to the Research Director and requires working independently within a small research team to achieve measurable results and model accuracy improvements.Requirements:<ul><li> 5+ years of relevant experience; or a Master’s degree in a quantitative or social science field with 3+ years of applied work experience; or a PhD with experience working quickly with concrete deliverables.</li><li> Strong background in applying data science, statistics, or computation to politics, including econometrics, causal inference, survey design, machine learning, or social scientific simulations.</li><li> Experience with public opinion data: designing, fielding surveys, analyzing data sources, and imputing data.</li><li> Experience designing and deploying field experiments or identifying natural experiments in political data.</li><li> Experience with forecasts, predictions, or inferential models about politics, such as counterfactual simulations or support scoring.</li><li> Hands-on experience with U.S. election data or other U.S. political datasets, working with messy, real-world data.</li><li> Ability to scope questions, choose methods, analyze, and iterate independently.</li><li> Proficiency with a statistical programming language (preferably R or Python), SQL, and experimentation with AI models for political research.</li></ul>Benefits:<ul><li> 100% coverage of health, dental, and vision benefits for you and your dependents.</li><li> Unlimited PTO (sick and vacation) policy to support work-life balance.</li><li> 401(k) program (no employer match).</li><li> Individual learning & development budget.</li><li> Workspace setup stipend for remote work.</li><li> $50/month internet and expense stipend for remote employees.</li><li> Fully funded mission-focused work with no funding stress.</li><li> Competitive salary range of $157,000 - $196,000 for this remote, full-time role.</li></ul>

GoodParty

Senior Political Data Scientist The role involves developing and refining quantitative models to support independent candidates and improve electoral outcomes using political data and experiments. The Senior Political Data Scientist at GoodParty.org is responsible for developing, testing, and refining quantitative models of electoral outcomes, modeling constituencies, implementing public opinion measurement methods, designing surveys and experiments, and improving electoral and public service outcome measurements. The role involves analyzing public opinion data, identifying new data sources, collaborating with engineering and product teams, and continuously improving political models. The position reports to the Research Director and requires working independently within a small research team to achieve measurable results and model accuracy improvements. Data Scientist Analytics Engineer GoodParty Political Organization Nonprofit

This position requires applying data science, modeling, and public opinion analysis to political campaigns and electoral data. The candidate will work remotely in a fast-growing startup dedicated to democratizing democracy.

This is the core work of the International Center for Agricultural Research in the Dry Area (ICARDA), which works with partners around the world, developing innovations to improve food security and the livelihoods of the rural poor. ICARDA's work targets non-tropical dry areas in developing countries, and also produces international public goods with potential for global application. Research covers crops (wheat, barley, faba beans, lentils, chickpeas and forage legumes), the management of natural resources (water, land, biodiversity), small ruminant (sheep and goat production), farming (intensification, diversification, integration between farming systems), and socio-economic and policy research - Over the past decade, ICARDA has developed new varieties of wheat that offer higher yields, improved heat and cold tolerance, and improved insect resistance.

Reports to: Research Team Leader - Soils, Waters and Agronomy
Location: Abu Dhabi, UAE

ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.

The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.

About ICARDA
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.

ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.

Main responsibilities include working with various datasets (geospatial, biophysical, climatic, genomic, socioeconomic), developing Predictive AI solutions, utilizing geospatial analysis and remote sensing, leading cloud-based workflows on AWS, Azure, or GCP, advocating for LLMs and GPTs in agriculture, engaging in science-policy dialogues, developing visualization applications, curating data, exploring IoT for data collection, supporting project proposals, publishing research, and capacity building.

Essential qualifications include a Ph.D. in a related field with strong quantitative skills, at least 10 years of experience for Scientist or Senior Scientist levels, experience in leading AI and data projects, familiarity with geospatial software, cloud platforms, and databases, excellent communication skills, and a track record of publications. Desirable skills include programming in Python, R, and JavaScript.

Terms of appointment include a competitive salary, medical insurance, 30 days annual leave, maternity and paternity leave, initial 3-year contract with renewal options, and application language in English.

The Data Scientist will develop AI solutions and geospatial analysis to enhance predictive capabilities in dryland agriculture for ICARDA.

United Arab Emirates

Reports to: Research Team Leader - Soils, Waters and Agronomy
Location: Abu Dhabi, UAE

ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.

The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.

About ICARDA
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.

ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.

Main responsibilities include working with various datasets (geospatial, biophysical, climatic, genomic, socioeconomic), developing Predictive AI solutions, utilizing geospatial analysis and remote sensing, leading cloud-based workflows on AWS, Azure, or GCP, advocating for LLMs and GPTs in agriculture, engaging in science-policy dialogues, developing visualization applications, curating data, exploring IoT for data collection, supporting project proposals, publishing research, and capacity building.

Essential qualifications include a Ph.D. in a related field with strong quantitative skills, at least 10 years of experience for Scientist or Senior Scientist levels, experience in leading AI and data projects, familiarity with geospatial software, cloud platforms, and databases, excellent communication skills, and a track record of publications. Desirable skills include programming in Python, R, and JavaScript.

Terms of appointment include a competitive salary, medical insurance, 30 days annual leave, maternity and paternity leave, initial 3-year contract with renewal options, and application language in English.Requirements:<ul><li> Ph.D. in a field closely related to agriculture with strong quantitative skills (such as Data Science, Machine Learning, Computer Science, Applied Statistics, Agriculture, Biological Science, or Earth Science), or a related discipline.</li><li> A minimum of 10 years of experience for Scientist level or 10 years for Senior Scientist level.</li><li> Candidates with a Master’s degree in the above-mentioned fields should have at least 12 years of relevant experience deploying AI and data solutions in real-world projects and industries.</li><li> Experience in leading teams on topics like Artificial Neural Networks (ANN), machine learning-based data analysis, and process modeling, geospatial analysis, and remote sensing.</li><li> Familiarity with related software, including ArcGIS, QGIS, Google Earth Engine (GEE), and GDAL, is advantageous.</li><li> Proficiency in cloud computing platforms such as Google Colab, AWS, Azure, and GCP is desirable, along with knowledge of database management systems (e.g., SQL, PostgreSQL, NoSQL).</li><li> Demonstrated ability to lead data science projects and teams effectively.</li><li> Excellent communication and interpersonal skills for engaging and collaborating with diverse stakeholders.</li><li> Proficiency in facilitating science-policy dialogues and advocating for digital transformation in public forums.</li><li> Capable of working both independently and collaboratively within a team setting.</li><li> Previous experience in agricultural research or related fields.</li><li> Knowledge of the agricultural context in the dryland regions.</li><li> Experience with leading ICT4D and data-centric projects.</li><li> Track record of publications in relevant scientific journals and repositories such as GitHub.</li></ul>Benefits:<ul><li> Competitive salary</li><li> Medical insurance</li><li> 30 days of annual leave</li><li> Five months’ maternity leave</li><li> 15 days’ paternity leave</li></ul>

ICARDA

Data Scientist The Data Scientist will develop AI solutions and geospatial analysis to enhance predictive capabilities in dryland agriculture for ICARDA. Reports to: Research Team Leader - Soils, Waters and Agronomy
Location: Abu Dhabi, UAE

ICARDA is working towards developing a climate-resilient and digitally advanced agrifood sector for the global drylands. Its areas of focus encompass agronomy, climate, crop improvement, socioeconomics, small ruminants, soil, and water challenges, employing methods such as situ observations, experiments, process modeling, stakeholder engagement, and a suite of digital initiatives under CGIAR. This position is ideal for a Data Scientist with expertise in Predictive or Generative AI, Machine Learning, Applied Statistics, or Systems Modeling. This position is designed to work in close coordination with the GeoAgro Research Team, complementing its leadership in climate change science, geospatial analysis, and digital agriculture innovation. As ICARDA advances integrated AI solutions that draw on geospatial analytics, machine learning, crop and soil modeling, and diverse data streams, this role ensures strong collaboration across research teams—particularly with GeoAgro, which leads ICARDA’s Cross-Cutting Research Theme on Climate-Smart Predictive Agriculture.

The Data Scientist will be embedded within ICARDA’s institutional structure and will actively collaborate with biophysical modelers, geospatial scientists, climatologists, and other domain experts to co-develop data science–driven international public goods. This alignment fosters synergy, avoids duplication, and reinforces ICARDA’s capacity to deliver scalable, cross-program innovations for dryland resilience.

About ICARDA
The International Center for Agricultural Research in the Dry Areas (ICARDA) is a treaty-based international non-profit research organization supported by CGIAR.

ICARDA’s mission is to reduce poverty, enhance food, water, and nutritional security, as well as environmental health in the face of global challenges including climate change. We do this through innovative science, strategic partnerships, linking research to development, and capacity development that takes into account gender equality and the role of youth in transforming the dry areas. ICARDA works in partnership with governments, universities, civil society, national agricultural research organizations, other CGIAR Research Centers, and the private sector. With its temporary Headquarters in Beirut, Lebanon, ICARDA operates in regional and country offices across Africa, Asia, and the Middle East. For more information: www.icarda.org.

Main responsibilities include working with various datasets (geospatial, biophysical, climatic, genomic, socioeconomic), developing Predictive AI solutions, utilizing geospatial analysis and remote sensing, leading cloud-based workflows on AWS, Azure, or GCP, advocating for LLMs and GPTs in agriculture, engaging in science-policy dialogues, developing visualization applications, curating data, exploring IoT for data collection, supporting project proposals, publishing research, and capacity building.

Essential qualifications include a Ph.D. in a related field with strong quantitative skills, at least 10 years of experience for Scientist or Senior Scientist levels, experience in leading AI and data projects, familiarity with geospatial software, cloud platforms, and databases, excellent communication skills, and a track record of publications. Desirable skills include programming in Python, R, and JavaScript.

Terms of appointment include a competitive salary, medical insurance, 30 days annual leave, maternity and paternity leave, initial 3-year contract with renewal options, and application language in English. Data Scientist Research Scientist ICARDA non-profits-and-non-profit-services association non-profit non-profit-organization-management non-profit-services non-profits nonprofit-organization-management Abu Dhabi

This role involves creating predictive AI models, utilizing geospatial data, and collaborating across research teams to support climate-resilient agriculture. The position emphasizes leadership in cloud workflows, data curation, and stakeholder engagement.

Senior Data Scientist

Khan Academy is a nonprofit educational organization dedicated to providing free, world-class education for anyone, anywhere. Founded in 2005, it offers a comprehensive library of interactive lessons, instructional videos, and practice exercises across a wide range of subjects including math, science, economics, and humanities. The platform serves millions of learners globally, aiming to empower students, teachers, and parents with accessible and personalized learning tools. Khan Academy's mission is to democratize education by leveraging technology to remove barriers to learning and foster academic growth for learners of all ages.

Khan Academy is looking for a senior data scientist to play a critical role in our growing team. This role will partner with our chief learning officer and product leadership team to drive engagement and improve student outcomes. The role involves understanding and developing hypotheses for new features, measuring success through goal setting and analysis, performing exploratory analyses on datasets, quantifying the impact of features using statistical techniques, sharing results with non-technical audiences, and contributing to self-service analytics tools. The ideal candidate has a background in applied math, statistics, economics, or a related field, with 5+ years of experience in data science or analytics, proficiency in statistical techniques, advanced SQL, and data visualization skills. Prior experience in education is a plus.

Khan Academy is seeking a Senior Data Scientist to analyze datasets, develop hypotheses, and drive strategic decisions to improve student engagement and outcomes.

Khan Academy is looking for a senior data scientist to play a critical role in our growing team. This role will partner with our chief learning officer and product leadership team to drive engagement and improve student outcomes. The role involves understanding and developing hypotheses for new features, measuring success through goal setting and analysis, performing exploratory analyses on datasets, quantifying the impact of features using statistical techniques, sharing results with non-technical audiences, and contributing to self-service analytics tools. The ideal candidate has a background in applied math, statistics, economics, or a related field, with 5+ years of experience in data science or analytics, proficiency in statistical techniques, advanced SQL, and data visualization skills. Prior experience in education is a plus.Benefits:<ul><li> Competitive salaries</li><li> Ample paid time off as needed – Your well-being is a priority</li><li> 8 pre-scheduled Wellness Days in 2026 occurring on a Monday or a Friday for a 3-day weekend boost</li><li> Remote-first culture - that caters to your time zone, with open flexibility as needed, at times</li><li> Generous parental leave</li><li> An exceptional team that trusts you and gives you the freedom to do your best</li><li> The chance to put your talents towards a deeply meaningful mission and the opportunity to work on high-impact products that are already defining the future of education</li><li> Opportunities to connect through affinity, ally, and social groups</li><li> All typical benefits including: 401(k) + 4% matching & comprehensive insurance, including medical, dental, vision, and life</li></ul>

Khan Academy

Senior Data Scientist Khan Academy is seeking a Senior Data Scientist to analyze datasets, develop hypotheses, and drive strategic decisions to improve student engagement and outcomes. Khan Academy is looking for a senior data scientist to play a critical role in our growing team. This role will partner with our chief learning officer and product leadership team to drive engagement and improve student outcomes. The role involves understanding and developing hypotheses for new features, measuring success through goal setting and analysis, performing exploratory analyses on datasets, quantifying the impact of features using statistical techniques, sharing results with non-technical audiences, and contributing to self-service analytics tools. The ideal candidate has a background in applied math, statistics, economics, or a related field, with 5+ years of experience in data science or analytics, proficiency in statistical techniques, advanced SQL, and data visualization skills. Prior experience in education is a plus. Senior Data Scientist Analytics Engineer Khan Academy Education E-Learning Nonprofit

This role involves partnering with product teams to understand and develop hypotheses, perform exploratory data analysis, and communicate insights to non-technical stakeholders. The candidate will also contribute to analytics tools and work on high-impact educational products.

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