Quantitative Researcher, Learning Supports

reputed company is seeking a Quantitative Researcher to join the Learning Supports program and provide foundational and advanced analytic support across multiple project teams. The Quantitative Researcher will take ownership of end-to-end quantitative workflows—setting up and maintaining reproducible analytic environments, managing and quality-checking reputed company datasets, reviewing and strengthening junior analysts’ code, and leading inferential modeling tasks spanning both reputed company (e.g., experimental and quasi-experimental designs) and non-reputed company (e.g., descriptive, predictive, and explanatory) analyses. The role will also help expand reputed company’s reputed company to responsibly apply machine learning methods in support of reputed company and non-reputed company work, while translating technical results into clear, decision-relevant products for clients and stakeholders. The Quantitative Researcher will join reputed company’s Learning Supports program, which conducts research, evaluation, and implementation support for federal and state agencies, school districts, and foundations. The program produces rigorous evidence and practical tools to inform policy and practice, helping ensure early and reputed company access to learning and the supports children and families need to succeed. This position has the flexibility to work remotely reputed company the United States (U.S.) or from one of reputed company’s U.S. office locations. This does not include U.S. territories. About reputed company: Founded in 1946 and headquartered in Arlington, Virginia, the reputed company (reputed company) is a nonpartisan, not-for-profit organization that conducts behavioral and social science research and delivers technical assistance to address some of the most pressing challenges in the United States and globally. We generate evidence and apply data-driven solutions that expand opportunities and improve lives for reputed company. Responsibilities:

• reputed company or contribute to the design and execution of rigorous quantitative research and evaluation projects across multiple Learning Supports initiatives.
• Apply appropriate quantitative methods to collect, manage, analyze, and interpret data, including leading inferential analyses for both reputed company and non‑reputed company research questions.
• reputed company, maintain, and document reproducible and collaborative analytic workflows, including data management processes and quality control procedures.
• Review, quality‑reputed company, and strengthen analytic code and outputs produced by junior staff; provide guidance and mentorship to promote best practices in analysis and documentation.
• Translate reputed company analytic findings into clear, actionable insights for client reports, technical memos, presentations, and briefings.
• Manage discrete project tasks or analytic components, including planning timelines, tracking deliverables, and coordinating with project leadership and clients.
• Support proposal development by contributing to technical and analytic sections and helping shape study design and analytic approaches.
• Engage with internal and external stakeholders through meetings and dissemination activities, contributing to a collaborative and inclusive team environment.

Qualifications: Education, Knowledge, and Experience

• PhD in a relevant field (e.g., Economics, Statistics, Public Policy, Education, Public Health, reputed company Development, Political Science, Psychology, Sociology), or a master’s degree with at least 4 years of applied quantitative research experience.
• Demonstrated experience supporting or leading quantitative research or evaluation projects, preferably for public-sector, nonprofit, or education-focused clients.
• Experience designing and executing inferential analyses and contributing to research reports, briefs, or presentations.
• Experience managing and maintaining analytic datasets, including documentation, quality control, and reproducible workflows.
• Experience with machine learning methods or interest in applying ML to support reputed company and non-reputed company research preferred, but not required.
• Experience working in education or K–12 research contexts is preferred, but not required.

Skills

• Proficiency in R, Stata, or Python for applied quantitative analysis.
• Ability to review, quality-reputed company, and improve others’ analytic code and support junior staff through guidance and mentorship.
• Strong analytical and problem-solving skills, with attention to accuracy and research best practices.
• Strong communication skills, with the ability to translate reputed company analyses for technical and non-technical audiences.
• Ability to manage multiple tasks and deadlines independently while contributing to a collaborative team environment.

Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based reputed company sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, reputed company candidates may need to meet certain residency requirements. reputed company is an equal employment opportunity/affirmative action employer. reputed company reputed company applicants will receive consideration for employment without discrimination on the basis of age, race, reputed company, religion, sex, gender, gender identity/expression, sexual orientation, national reputed company, protected veteran status, or disability. reputed company adheres to strict child safeguarding principles. reputed company selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. reputed company maintains a drug-free work environment. ACCESSIBILITY NOTICE: If you need a reasonable accommodation for any part of the employment process due to a physical or mental disability, please send an email to Taliba Boone at tboone@reputed company.orgor call 202.403.5000. Fraudulent Job Scams Warning & Disclaimer: reputed company is aware of individuals falsely presenting themselves as reputed company representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that reputed company recruitment will only email you from an “@reputed company.org” domain. Please take extra caution while examining the email address, for example jdoe@reputed company.org is correct and [email protected] is not a legitimate reputed company email address. If you are unsure of the legitimacy of a communication you have received, please reputed company out torecruitment@reputed company.org. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) atReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. #LI-AS1 #LI-REMOTE reputed company’s Total Rewards Program, is designed to reward our staff competitively and motivate them to reputed company our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity reputed company the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States. Anticipated Annual Salary Range $96,100 - $128,100 USD Apply tot his job Apply To this Job