Founded by Dr. Priscilla Chan and Mark Zuckerberg in 2015, the Chan Zuckerberg Initiative (CZI) is a new kind of philanthropy that’s leveraging technology to help solve some of the world’s toughest challenges – from eradicating disease, to improving education, to reforming the criminal justice system. Across three core Initiative focus areas of Science, Education and Justice and Opportunity, we’re pairing engineering with grantmaking, impact investing, policy work, and movement building, to help build an inclusive, just and healthy future for everyone.
We believe we can help build a future for everyone.
- We aim to be daring, but humble: We look for bold ideas — regardless of structure and stage — and help them scale by pairing engineers with subject matter experts to build tools that accelerate the pace of social progress.
- We want to learn fast, but build for the long-term: We want to iterate fast and help bring new solutions to the table, but we also realize that important breakthroughs often take decades, or even centuries.
- Stay close to the real problems: We engage directly in the communities we serve because no one understands our society’s challenges like those who live them every day.
Our success is dependent on building teams that include people from different backgrounds and experiences who can challenge each other's assumptions with fresh perspectives. To that end, we look for a diverse pool of applicants including those from historically marginalized groups — women, people with disabilities, people of color, formerly incarcerated people, people who are lesbian, gay, bisexual, transgender, and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds.
We are looking for a Quantitative Research Scientist to join the CZI Justice and Opportunity (JOI) Research Team. As a member of the JOI Research Team, you will partner with CZI's JOI initiatives working on immigration reform, criminal justice reform, and affordable housing to design, execute, and deliver high-impact primary research. In this role, you will work closely with cross-functional partners to understand their learning agendas, design and run end-to-end quantitative research to answer high priority research questions, and interpret the results to inform decision-making.
You have a background in quantitative social science with an emphasis on public opinion, causal inference, and complex research designs. You have experience using quasi-experimental methods as well as knowledge of cutting edge techniques in survey design, experimentation, and statistics. Additionally, you are a strong communicator with the capacity to draw insights from data and read them back to partners to inform their decision-making.
- Collaborate with cross-functional partners to translate their intelligence needs into actionable research questions
- Design and execute research to help teams learn about attitudes and behaviors in complex social systems, using cutting edge methodologies and statistical techniques
- Generate, validate, and track new metrics on a regular basis
- Convey insights in clear, compelling, concise, and actionable ways to help the team shape and improve product strategy and design
- Collaborate with external partners as a thought partner and ensure their intelligence needs are met
- Develop the organization's capacity for research - including building and maintaining relationships with vendors
- Build and manage a project management system that interoperates with existing CZI infrastructure to manage execution and reporting of a high volume of simultaneous projects
- Advanced degree (Ph.D. preferred) in social science (e.g., Communication, Sociology, Political Science, Economics, Psychology, Public Policy), or in a quantitative field (e.g., Statistics, Infomatics, Econometrics, Survey Methodology) with experience answering social science questions
- 3+ years working in quantitative research in technology, policy, and/or public opinion/polling answering real world questions
- Extensive knowledge of and experience using quantitative research methodologies (e.g., survey sampling and design, significance testing, regression modeling, experimental design, behavioral data analysis, longitudinal analysis, etc.)
- Some experience in survey methodology, especially questionnaire design
- Previous experience identifying and working with vendors on end-to-end research
- Interest in and experience executing hands-on, primary research
- Ability to ask, as well as answer, meaningful and impactful questions for organizations
- Experience conducting rapid response research, and a desire to work in a fast-paced, high energy environment
- Strong presenter and communicator
- Experience in data manipulation and analysis using R and SQL
- Expertise applying multivariate statistical methods such as GLM, analysis of quasi-experimental research designs with non-equivalent groups (e.g., regression adjustment, matching, propensity score stratification), longitudinal analysis, hierarchical linear (random effects) modeling, etc. to research problems
- Experience with marketing science techniques including segmentation and discrete choice experiments
- Experience executing mixed-methods research (combining qualitative and quantitative methods)
- Experience in using machine learning methodologies (e.g., building predictive models, working with unstructured data, etc.)
- Experience merging survey data with large observational datasets