SAS - Global
Data Scientist Research Intern
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Job Description
- Req#: 40869
Employer Industry: Revenue Management Solutions
Why consider this job opportunity:
- Opportunity to work on high-visibility projects in a collaborative environment
- Gain real-world experience in research and development within the field of revenue optimization
- Mentorship from experts in advanced analytics, generative AI, and machine learning
- Engage in exciting projects involving data analysis, solution prototyping, and software development
- Inclusive company culture that values diverse perspectives and innovation
- Flexible work arrangements to support work-life balance
What to Expect (Job Responsibilities):
- Prepare and analyze data to identify opportunities and design solutions
- Communicate and present findings to various audiences to explain functionality and benefits
- Produce required technical documentation for projects
- Collaborate with the Advanced Analytics Team on new product development
- Engage in research and data exploration to address emerging revenue management needs
What is Required (Qualifications):
- Enrollment in a Ph.D. program in Applied Mathematics, Computer Science, Operations Research, Systems Engineering, Statistics, Data Science, Physics, Mathematics, or a related quantitative field
- Experience conducting research as part of the Ph.D. program
- Proficiency in Python, with working knowledge of SQL and RESTful APIs
- Strong problem-solving skills, particularly in data modeling
- Excellent written, verbal, and interpersonal communication skills
How to Stand Out (Preferred Qualifications):
- Previous work experience in generative AI and machine learning
- 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)
#RevenueManagement #DataScience #MachineLearning #InternshipOpportunity #InclusiveWorkplace
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We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer.About the company
SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated.
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