4 дня назад
Data Scientist Assistant (Part-Time) (AI)
39 - 41$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist Assistant (AI) (Python/Generative AI): Building cloud-based and on-premises applications, data pipelines, and AI-driven workflows for market intelligence and research solutions with an accent on large language models, deep learning, and multi-agent systems. Focus on architecting AI application components, analyzing data outputs, and developing human-in-the-loop workflows.
Location: Hybrid in Arlington, Virginia, with three days per week in the Crystal City office; applicants must be authorized to work in the United States. The position is expected to run from September 2026 through December 2026.
Anticipated hourly rate: $39–$41 USD.
Company
is a nonpartisan, not-for-profit organization conducting behavioral and social science research and delivering technical assistance through evidence- and data-driven solutions.
What you will do
- Contribute to AI- and machine-learning-based workflows using large language models, generative AI, and multi-agent or human-in-the-loop systems.
- Build cloud-based and on-premises applications for market intelligence and other research projects.
- Develop cloud applications and data pipelines using platform-as-a-service and open-source tools.
- Architect, design, and build components of AI applications.
- Use external resources to support project tasks and analyze data outputs.
Requirements
- Bachelor’s degree in a STEM field such as Computer Science, Physics, or Data Science.
- Experience developing workflows with Python.
- Familiarity with generative AI tools and practical applications.
- Ability to communicate complex technical concepts clearly across organizational levels and backgrounds.
- Current authorization to work full-time in the United States is required; employment-based visa sponsorship, including H-1B sponsorship, is not available.
- Depending on project work, certain residency requirements may apply.
Culture & Benefits
- Part-time, project-based engagements with duration and hours varying according to project needs.
- Collaborative work with data scientists and software engineers.
- Equal employment opportunity and affirmative action workplace.
- Selected candidates undergo reference and background checks and must follow child safeguarding standards.
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