- 경험
- 최대 2년
- 샐러리
- —
- 채용 공고
- 1
- 게시됨
- 7일 전
- 작업 모드
- 사무실에서
- 교육
- 졸업생 누구나
- 적임
- Open to recent graduates or early-career professionals authorized to work in the United States, willing to travel occasionally for team summits if agreed upon.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About the Company
Jobright.ai serves as a personalized AI job search assistant that revolutionizes the job hunting experience, making it faster and guided by expert insights.
Why Work with Us
- Create real AI agents deployed in production and utilized by actual users
- High levels of ownership and influence on projects
- Work where AI, agent technologies, and product development intersect
- Help define how people engage with AI-enabled job search technologies
Key Responsibilities
- Embed yourself closely with client and internal workflows to ensure data-driven insights guide AI agent analysis and decision-making
- Design and deliver customized, timely reports and visual data representations that offer expert analysis for product teams and clients alike
- Respond promptly and efficiently to data requests, conveying complex insights in a clear, consistent, and professional manner
- Collaborate with managers and other team members regularly to enhance data models and improve agent performance
Qualifications
Required
- Recent graduate or early-career professional with up to two years' experience in data analysis or a related technical discipline
- Strong communication and interpersonal capabilities, able to translate data trends for both technical and non-technical audiences
- Solid understanding of statistics, data analysis approaches, and foundational AI and machine learning logic
- Must reside in the United States with authorization to work and be open to occasional travel for team meetings if needed
Preferred
- Past internship or project experience in roles such as data analyst, support, or research within technological or AI-centric environments
- Demonstrated ability to turn complex datasets into practical and easily understandable analytics
- Technical proficiency with programming languages like Python or R, data modeling techniques, and database systems such as SQL