Intern - AI & Data Science Associate Program - Summer 2024

Overview

BRE Hotels & Resorts is Blackstone’s U.S. hospitality platform focused on the ownership of luxury, upper-upscale, extended-stay and select-service hotels. The company provides investors with expertise in asset management, revenue management, financial planning and analysis, investment underwriting, and other professional services. BRE Hotels & Resorts has a diverse portfolio including more than 110 properties, 23,000 guestrooms, 25 brands, 14 management companies and iconic resorts in Maui, San Diego, and Phoenix.

ABOUT THE ROLE

BRE Technology and Analytics is delivering excellence at the intersection of data science, research, and industry expertise. BRE Technology and Analytics will go beyond where any hospitality firm has gone before. We ask the questions and find the answers to create solutions and technology that help to solve the pressing financial problems, protect investors’ investments, and improve our hotels and resorts’ operations and guests’ experiences.  Whether you're working with artificial intelligence, big data, machine learning or robotics, our entrepreneurial team environment challenges you to push the limits of your expertise in the pursuit of impactful and commercial real-world applications.

Join us at BRE Hotels and Resorts, we're creating positive change for the diverse communities we serve. We do this by championing your innovative ideas through a supportive culture that helps you every step of the way as you build your career. If you're passionate, curious and ready to make an impact, we're looking for you.

As of the date on which this job advertisement is posted, the Company anticipates that the base hourly range for this role is $$30/per hour.

Responsibilities

WHAT TO EXPECT

Our Associate Internship Program begins in February or June. Your professional growth and development will be supported throughout the internship program via project work related to your academic and professional interests, mentorship, engaging speaker series with senior leaders and more.  

Full-time employment offers may be extended upon successful completion of the program. The BRE Technology and Analytics team and outsourced technology teams work closely together, whether exploring cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques to BRE’s unique data assets, or collaborating directly with hotel management companies to drive the data-led transformation of our businesses.  Our areas of focus include Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Explainability and Interpretability of AI.  

Qualifications

We are looking for innovative problem-solvers with a passion for developing complex solutions that support our unique and people driven business. Key qualifications include:

• Enrolled in a Ph.D. or 2 year Master's degree program in math, science, engineering, computer science or other quantitative fields with an expected graduation date of December 2024 through August 2025
• Knowledge of machine learning / data science theory, techniques and tools
• Knowledge and proficiency in Python
• Excellent analytical, quantitative and problem-solving skills and demonstrated research ability
• Strong communication skills and the ability to present findings to a non-technical audience
• No prior experience in financial or hospitality required

Desirable skills include:

• Experience with modern machine learning tools such as PyTorch and XGBoost
• Experience with data tools such as Hadoop, PySpark and SQL
• Experience with Java, C++, C#, Rust an additional bonus
• Knowledge in Reinforcement, Meta, or Transfer learning
• Knowledge in data visualizing tools such as Tableau, PowerBI is desired but not required.

EEO Statement

The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com.