IDeaS is a company of innovators, collaborators, and educators. Founded in 1989, with the goal to revolutionize revenue management for businesses worldwide. The company's founders were pioneers in revenue science, and IDeaS has continued to lead the way in this field ever since, particularly in the hospitality and travel industries. We use advanced mathematics and industry expertise to turn data into accurate, automated, and actionable revenue-enhancing decisions. Decades of innovation and refinement have resulted in IDeaS' revenue science solutions, which have proven to be precise, data-driven, and reliable for clients. Our company has a history of continuous evolution and reinvention, driven by passionate and curious individuals. IDeaS uses the most advanced technologies, including deep machine learning, artificial intelligence, and SAS analytics, to push the limits and invent the future of revenue management. IDeaS' vision is to turn a world of data into a world of intelligent decisions. Our mission is to provide innovative analytics solutions that optimize total revenue performance for hospitality and select industries. Our company doesn't just offer recommendations. We provide accurate, automated, and actionable decisions. In the end, IDeaS is a company that uses revenue science to help businesses grow revenue faster, and our methods are tested, proven, and constantly evolving. Come join us on our journey!
Data Scientist Research Intern
Location
United States
Posted
17 days ago
Salary
Not specified
Job Description
Job Requirements
- Enrolled in Bachelors, Masters, or Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics or a related quantitative field
- As part of Ph.D. program, experience conducting research is preferred
- Previous work in GenAI and machine learning is preferred
- Interest in revenue science, general forecasting and estimation concepts
- Excellent ability to identify and proactively solve problems (data modeling)
- Comfortable with one or more programming languages (Java, Python or SAS)
- Strong written, verbal, and interpersonal communications skills
- Programming: Proficiency in Python (primary), with working knowledge of SQL and RESTful APIs
- AI / Machine Learning: Familiarity with large language models (LLMs), prompt engineering, RAG, and foundational ML concepts
- Data Handling: Strong SQL querying skills, experience with Pandas for data manipulation, and ability to perform basic analytical tasks
- Nice to Have...
- Hands-on experience with LangChain, LangGraph, or similar agentic AI frameworks
- Understanding of hospitality and revenue management principles
- Background in time-series forecasting or demand planning
- Familiarity with dashboarding and visualization tools (e.g., Streamlit, Plotly, Dash)
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