Job Title: Senior Data Scientist - Consultant

Company Name: World Justice Project

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/cl2b4c6myxiip0is

Job Description: Posted 1w agoSenior Data Scientist - Consultant@ World Justice ProjectView All JobsWebsiteUnited StatesRemoteFull TimeResponsibilities:Design ML models, Lead infrastructure modernization, Develop agentic AI systemsRequirements Summary:Design and implement ML models, develop AI agents/LLMs, deploy in cloud, mentor team.Technical Tools Mentioned:Python, R, LLMs, Git/GitHub, Docker, Cloud Computing (AWS/Azure/GCP), RESTful APIs, Web Scraping
SummaryThe World Justice Project (WJP) is seeking a full-time Senior Data Scientist – Consultant to support its Data Analytics Unit. This position will contribute to WJP’s global research on rule of law issues by supporting data analysis and report production processes. The role involves designing and implementing machine learning models, developing AI agents, and working with large language models (LLMs) to support a range of research projects.WJP’s global research and data team is based in Washington, DC, and this position will be remote.About the World Justice ProjectThe World Justice Project (WJP) was launched in 2009 to promote justice and the rule of law globally. It is best known for its Rule of Law Index, the world’s leading source on the performance of 143 countries in relation to absence of corruption, open government, civil and criminal justice, fundamental rights, and other rule of law standards. Drawing on the Index methodology, WJP also undertakes in-depth studies on particularly countries and topics, such as access to justice, criminal justice, environmental governance, and corruption. WJP puts this data and research into action to strengthen the rule of law through convening, engagement, and support of a global network—including through the biennial World Justice Forum and World Justice Challenge. At a time when the rule of law is facing fundamental challenges throughout the world, WJP’s mission to strengthen respect for justice, peace, and fundamental rights is more pressing than ever.  For more information, please visit worldjusticeproject.org.ResponsibilitiesDesign and implement machine learning models and statistical analyses to support WJP research initiativesLead technical infrastructure modernization including containerization and cloud deployment strategiesDevelop and maintain agentic AI systems and LLM-powered tools for data analysis workflowsProvide technical mentorship to other team members on advanced analytics techniquesCollaborate with research teams to translate complex data questions into analytical solutions QualificationsTechnical SkillsAdvanced proficiency in Python and R for statistical analysis and machine learningProven experience with LLM and deployment of large language model applicationsGit/GitHub for version control and collaborative developmentDocker and containerization technologiesUnderstanding of cloud computing concepts (AWS, Azure, or GCP)Understanding of RESTful APIs and web scraping techniquesPreferred QualificationsStrong experience with scikit-learn and other ML frameworksKnowledge of agentic systems and AI workflow automationSQL for database management and complex queries (bonus)Strong statistical background including dimensionality reduction techniques (PCA, factor analysis, MDS, t-SNE)Basic HTML/CSS for report customization Expertise in data imputation methods and handling missing dataExperience with latent variable modeling (SEM, IRT, mixture models)Experience working on research projects related to justice, democracy, or development. Master's degree in Computer Science, Statistics, Data Science, Economics, or a related fieldHow to ApplyTo apply for this position, please visit our employment portal: https://worldjusticeproject.org/about-us/connect/employment. The following materials are required for this position: Resume Writing sample. It can be in Spanish or English. Contact information for three professional references Please submit all application materials in one PDF document.    Applications will be reviewed on a rolling basis. Due to the high volume of applications received, we are only able to follow up directly with candidates selected for interviews. No phone calls please.