IDeaS Statistic and Machine Learning Graduate Intern (In Office, NC)

Passionate people. Loyal clients. Leading solutions.

With a rich culture of creative collaboration and professional growth, IDeaS’ team members build successful careers with us.

Headquartered in Bloomington, MN, with a technology center in Pune, India, and regional offices across six continents, IDeaS is proud to be a global powerhouse of innovation and excellence; challenge and reward. No matter where we’re working, our teams come together to create leading revenue management solutions that accelerate our clients’ growth through revenue optimization.

Now we just need you!

As a Statistic and Machine Learning Graduate Intern, you will do the following. Contribute to the research and development of innovative, market-centric products. Analyze customer data and build reliable and scalable cloud-based SaaS system for solving high value business problems relevant to revenue and profit optimization. Transfer client business requirements into a tangible product solution that addresses the specific customer requirements to ensure highest quality products and positively affect sales and client retention.

What you’ll be doing...

• Perform hands on work to do statistical analysis of hospitality data.
• Research state of art forecast and machine learning technics and translate them into reliable and scalable modules to address real world business problem.
• Design and develop new heuristics and algorithms.
• Perform other duties, as assigned.

What you’ll bring to us…

• Currently enrolled in an accredited university seeking a graduate degree in Econometrics, Statistics, Applied Mathematics, Machine Learning, or a related quantitative field, not graduating prior to December 2023
• Ability to intern on a part or full time basis from Jan 2023-Dec 2023.
• You're curious, passionate, authentic, and accountable
• Familiar with data analysis, machine learning, and statistic
• Have hands on experience in converting algorithms into computer program
• Good analytical and problem-solving skills
• Have strong communication skills - both written and verbal

Nice to haves…

• Hands on experience with a high-level language like C/C++, Python, JAVA
• GPA of 3.7 or higher.

We Support Who You Are….

As a global company, we strive to create an inclusive environment where diverse perspectives spark innovation and meet the challenges of an evolving world.  Whether you’re launching a new career or expanding your current one, IDeaS is a company where you can balance great work with all other aspects of your life. 

At IDeaS, we also aspire to live our values each day by being Accountable, Curious, Passionate and Authentic. And we continue our quest to build a more inclusive environment that attracts, represents, and provides a place for diverse ideas, unique perspectives, and authentic voices. 

Additional Information:
To qualify, applicants will need to be able to legally authorized to work in the United States and we will support sponsorship for employment visa status.

SAS is an Equal Opportunity/Affirmative Action employer. All qualified applicants are considered for employment without regard to race, color, religion, gender, sex,  sexual orientation, gender identity, age, national origin, disability status, protected veteran status or any other characteristic protected by law. Read more: Know Your Rights. Also view the Pay Transparency notice. 

Equivalent combination of education, training, and relevant experience may be considered in place of the education requirement stated above.

The level of this position will be determined based on the applicant's education, skills, and experience.

Resumes may be considered in the order they are received.
IDeaS/SAS employees performing certain job functions may require access to technology or software subject to export or import regulations. To comply with these regulations, IDeaS/SAS may obtain nationality or citizenship information from applicants for employment. IDeaS/SAS collects this information solely for trade law compliance purposes and does not use it to discriminate unfairly in the hiring process.

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