American Institutes for Research - Data Scientist, Project Success and Innovation

• Master's or doctoral degree in a quantitative field, including statistics, computational social science, education data science, statistics, economics, quantitative psychology, quantitative methods, data science, or a related discipline, 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 applications of large language models in research. • Interest in building tools that other people use, and willingness to support them in doing so. • Familiarity with data common in applied social research, such as 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 version control (Git and Github) and an interest in reproducible research practices. • Familiarity with literate programming and reproducible reporting tools such as Quarto, R Markdown, or Jupyter. • Ability to communicate effectively with colleagues who have varying levels of technical experience. • Ability to write clearly about technical work for non-technical readers. • Disclosures: Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements. • Disclosures: • American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locs, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR 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 [email protected] or call 202.403.5000. • ACCESSIBILITY NOTICE: • Fraudulent Job Scams Warning & Disclaimer: AIR is aware of individuals falsely presenting themselves as AIR representatives. Fraudulent job scams seek to extract sensitive information or money from victims. To protect yourself, please be aware that AIR recruitment will only email you from an “@air.org” domain. Please take extra caution while examining the email address, for example [email protected] is correct and [email protected] is not a legitimate AIR email address. If you are unsure of the legitimacy of a communication you have received, please reach out to [email protected]. If you see a job scam, or lose money to one, report it to the Federal Trade Commission (FTC) at ReportFraud.ftc.gov. You can also report it to your state attorney general. Find out more about how to avoid scams atftc.gov/scams. • Fraudulent Job Scams Warning & Disclaimer: • #LI-MP1 #LI-REMOTE • AIR’s Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within 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.