Data Scientist, Project Success and Innovation

🕒 October 16

🏄 California, Illinois, +3 more states – Remote

🏄 California – Remote 🌽 Illinois – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $114k - $140k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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American Institutes for Research

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1946

🏥 Healthcare

💼 Consulting

📚 Education

💰 Grant on 2017-11

Healthcare • Consulting • Education

American Institutes for Research is dedicated to advancing evidence and improving lives through rigorous research and evaluation. The organization focuses on education, health, human services, and international initiatives, providing technical assistance and data science capabilities to address critical social issues. With a mission to generate evidence that contributes to a better and more equitable world, AIR collaborates with communities, policymakers, and researchers to support evidence-based solutions across various sectors.

📋 Description

• Join AIR's Project Success and Innovation team and Employment and Economic Opportunity Program • Provide advanced technical expertise for innovation development, scaling efforts, applied research, and analytics • Co-design, develop, and scale solutions through AIR's Innovation Lab • Build and maintain reusable analytic tools, code libraries, project templates, and pipelines • Write documentation, training materials, and onboarding guides • Support project teams adopting tools and workflows through troubleshooting and user support • Prototype and test machine learning and AI tools, including large language models, and assess responsible use • Maintain deployed tools by triaging issues, fixing bugs, and tracking user feedback • Contribute to PSI work plans, timelines, and progress tracking • Conduct quantitative analyses for causal and non-causal research questions • Serve as lead analyst on studies or analytic components • Manage, clean, and quality-assure complex datasets • Build and document reproducible workflows and quality-control procedures • Review junior staff's analytic code and support their development • Contribute to study design and analytic planning • Draft analytic sections of client reports, technical memos, and presentations • Translate technical findings for non-technical audiences • Track deliverables and timelines • Contribute technical content to proposals

🎯 Requirements

• Master's or doctoral degree in a quantitative field, recently completed or nearing completion • Coursework or applied experience in causal inference and statistical modeling • Experience with complex survey data, sampling, and large-scale administrative, longitudinal, or linked datasets • Experience applying quantitative methods to education, health, or social policy questions • Experience or familiarity with machine learning and AI methods, including large language models in research • Familiarity with data used in applied social research, including administrative records, longitudinal student or program data, survey data, or text • Experience with restricted-use or confidential data • Prior work building or maintaining code used by others • Proficiency in R and/or Python • Working knowledge of Stata • Familiarity with Git and GitHub and reproducible research practices • Familiarity with Quarto, R Markdown, or Jupyter • Ability to communicate effectively with colleagues with varying technical experience • Ability to write clearly about technical work for non-technical readers • Currently authorized to work in the U.S. on a full-time basis • Employment-based visa sponsorship is not available • May need to meet project-specific residency requirements • Selected candidates must undergo reference and background checks • Must adhere to AIR's child safeguarding standards and principles

🏖️ Benefits

• Competitive total rewards program • Equal employment opportunity and affirmative action employer • Reasonable accommodation for applicants with disabilities • Drug-free work environment • Remote work within the United States or work from a U.S. office location • AIR supports child safeguarding standards and conducts reference and background checks for selected candidates

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