Research Scientist IV, Information Science

Job not on LinkedIn

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arizona

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

📣 Marketing

📱 Media

Marketing • Media

Arizona is a São Paulo–based creative and digital production agency. The company presents itself as a multidisciplinary studio focused on ‘Vida Digital’ (digital life), film, photography, integrated production, new retail and technology-driven solutions for clients. Their site highlights creative talent (“Artistas, Nerds & Craques”) and offers contact and project inquiry channels for brands seeking production, creative and tech-enabled marketing work.

📋 Description

• Lead the design, implementation, and evaluation of AI/NLP systems for scientific feasibility assessment; develop and test integrated pipelines combining literature-based discovery, structured knowledge extraction, simulation, and code-based experimentation; run experiments and benchmarking at scale. • Architect and maintain high-quality research codebases in Python and related tools; implement automated experimentation frameworks, simulation integrations, and evaluation infrastructure; ensure reproducible artifacts, logging, and documentation for large-scale empirical studies. • Design and execute systematic empirical analyses of model behavior and experimental outcomes; analyze large-scale datasets, intermediate outputs, and logs to diagnose system performance, refine methods, and ensure research rigor. • Lead and co-author conference and journal papers for top-tier AI/NLP and machine learning venues; prepare manuscripts for peer-reviewed publication; create clear technical presentations and present findings at national and international conferences. • Develop research directions, experimental methodology, and project roadmaps; assist with preparation of technical reports, and research documentation as needed. • Drive collaboration, manage relationships, and provide technical guidance to student researchers where appropriate. • Contribute to a collegial, respectful, and collaborative research environment through professional and constructive communication. • Coordinate with collaborators within and outside the University as needed for joint experiments, data integration, and research dissemination.

🎯 Requirements

• Exceptional programming ability, particularly in Python, and strong software engineering practices. • Demonstrated ability to design and maintain substantial research codebases. • Strong knowledge of AI/NLP research methods, including experimental design, evaluation, and benchmarking. • Strong demonstrated ability at hands-on empirical research, including extensive interaction with generating and analyzing large volumes of data, intermediate representations, and experimental outputs. • Familiarity with Linux-based research environments, Git, containerization (e.g. Docker), and reproducible workflows. • Ability to work independently in a research-driven, small-lab setting. • Strong written and verbal communication skills.