SAS · 2 months ago
Data Scientist Research Intern
SAS is a global powerhouse of innovation and excellence, seeking passionate individuals to join their IDeaS team. As an R&D Intern, you will collaborate with the Advanced Analytics Team on new product development, focusing on revenue science topics such as forecasting, pricing, and optimization using generative AI and machine learning techniques.
AnalyticsData GovernanceData ManagementEnterprise SoftwarePredictive AnalyticsSoftware
Responsibilities
Preparing and analyzing data; identifying opportunities and problems; designing solutions and implementing those solutions
Communicating and presenting work to various audiences to explain functionality and/or benefit
Producing required technical documentation
Qualification
Required
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
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
To qualify, applicants must be legally authorized to work in the United States, and should not require, now or in the future, sponsorship for employment visa status
Preferred
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
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)
Company
SAS
SAS provides advanced business analytics and business intelligent software and services to enable companies to optimize their operations.
Funding
Current Stage
Late StageTotal Funding
$1MKey Investors
CollaboratoryEuropean Commission
2022-11-08Grant· $1M
2020-11-10Grant
Recent News
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2025-12-17
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