Stay Wanderful is looking for a Data Science Intern. As a key part of the data science and engineering team, you are responsible for the analysis of Stay Wanderful's database of users and customers and improvement of our products and customer experience based on insights from the data.
We are building a large scale data platform to enable a smart recommendation engine based on machine learning technology in order to provide a user on a hotel's website with personalized offerings that are instantly gratifying. A traveler of a certain profile may receive $50 flight credit from their airline of preference, while enjoying VIP access and complimentary cocktails at their favorite restaurant in town.
You will analyze our data and key business information from the perspective of product, sales and customer success, in order to ensure that we continue to deliver the highest quality products and analyses to our customers. Your work will have a direct impact on the company's bottom line, the success and growth of our business and drive the direction of new product features.
You will work closely with the product and management teams to provide analysis of the impact our product is driving for our clients, across a number of key metrics and variables. Tasks may include identifying key metrics aligned to business goals, creating and analyzing reports on the performance of our products across multiple touch points to identify and drive improvements for the end user, analyzing A/B and multivariate tests and running reports using data from multiple sources. Your reports and analyses will also be used to inform design, process and marketing decisions.
Ideal qualifications and experience:
- Data engineering experience
- Detail oriented & process driven
- Excellent organizational and planning skills
- Ability to work both collaboratively in a team and independently
- Experience with Microsoft Excel, Word and PowerPoint
- Programming skills (e.g. Python, SQL)
- Degree in Math, Physics, or Engineering (not necessarily computer engineering) preferred and an interest in hotels and travel
Skills:
SQL, Python, Javascript, Scala, Data Engineering, Machine Learning, Git, Unix, AWS, Cloud Computing/SaaS
About Stay Wanderful:
Stay Wanderful is powering the next generation of travel through our industry leading mix of traveller incentives and behavioral insights. Working with an ever growing network of hotels, Stay Wanderful's incentive engine surfaces relevant, targeted, and exclusive rewards to guests who book directly on the hotel website. To date, we have incentivized over $200 million of hotel transactions with an impressive 12 million+ impressions per month. Grounded in rich behavioral and consumer intent data gathered by our platform, the SW reward personalization engine learns from consumer interaction and reward selection to serve customized reward recommendations, ultimately driving a personalized experience for travellers and driving incremental revenue for our hotel clients. Additionally our merchant partners have demonstrated business growth from our network, tapping into the high-spending travel consumer segment.
While our utmost goal is incremental revenue for our clients, we find ourselves sitting on top of consumer insight data capable of providing deep understanding of the traveller persona. We can segment this data by geographics, demographics, as well as spending habits, and are in early stages of exposing these insights via our B2B analytics platform.
It’s an exciting time for our growing team as we’ve raised a strong fundraising round, have a solid technology team, have achieved transformative results for our hotel clients and now are just looking to grow exponentially. Stay Wanderful serves hotels totaling 50,000+ hotel rooms, attracting millions of unique visitors/month. The management team has significant domain expertise in hospitality, analytics, and machine learning, and are alumni of MIT, Harvard Business School, and Columbia University. Investors include hotel owners and tech investors.
- Winner of Most Innovative Startup - Judge's Choice Award at HITEC 2017
- Winner of Best Business Model at 2016 Launch Festival
- Selected into Grand Central Tech out of thousands of applicants
This internship is unpaid and for academic credit. This position can turn into a paid full time Data Scientist position. Flexible hours for the internship.