Hopper offers a remote work policy that empowers employees to work from anywhere. Employees have the opportunity to work in an office environment or they can receive a work-from-home stipend if they prefer to work from home and lives outside of Montreal.
About the job We’re looking for a motivated data scientist and data wrangler to help us capitalize on key data-centric product opportunities within the hotel business.
You might be a great fit for our team if you’re a self-starter who thrives on uncertainty, and who’s passionate about exploring the intersection of real business problems with huge (and often messy) data sets, and finding effective ways to simplify and focus on practical opportunities to deliver value to our customers.
To succeed at Hopper you need the talent, drive, and experience to thrive in a highly performing company.We collect and archive pricing data for hotels from a dozen providers;
rich metadata at the property, room and user level; as well as geographic data about each property and the related context like airports, points of interest, neighbourhoods and political boundaries.
Specific challenges include measuring and predicting specific hotel sales performance to drive dynamic pricing; improving our automated sort order;
personalized recommendations based on observed customer behaviour; and better leveraging geographic data in search, filtering and recommendations. Minimum qualifications
Minimum 4 years of working experience in related role
A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines
Extremely strong analytical and problem-solving skills
Proven ability to communicate complex technical work to a non-technical audience
A strong passion for and extensive experience conducting empirical research and answering hard questions with data
Experience with relational databases and SQL, including geographical data
Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis
Experience with data mining, machine learning, statistical modelling tools and underlying algorithms
Experience with business reporting tools such as Tableau, Amplitude
Proficiency with Unix / Linux environments
In this role, you will :
Frame and conduct complex exploratory analyses needed to deepen our understanding of Hopper users
Partner with product, engineering and business teams to contribute to product improvements and initiatives
Use machine learning and big data tools on large and complex data sets to enhance our data-driven, personalized travel advice
Create advanced dashboards for product experiment tracking and business unit performance analysis using Amplitude, Tableau and BigQuery / Google sheets
Find effective ways to simplify and communicate analyses to a non-technical audience
Benefits of working with us
Well-funded and proven startup with large ambitions, competitive salary and stock options
WeWork All Access Pass OR Work-from-home stipend
Entrepreneurial culture where pushing limits and taking risks is everyday business
Open communication with management and company leadership
Small, dynamic teams massive impact
100% employer-paid telemedicine, medical, dental, vision, disability and life insurance plans
Access to a Retirement Savings Plan
Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has seen its valuation more than double since early 2020, reflecting the strength of our mobile-only marketplace and the value customers are deriving from our proprietary suite of fintech offerings.
Here are just a few stats that demonstrate our recent growth : - Hopper’s valuation is now over $3.5B, reflecting the strength of its mobile-only marketplace and value customers are deriving from the company’s proprietary suite of fintech offerings.
Based on its current run rate, Hopper is pacing towards 330% revenue growth compared to last year, and it has already surpassed its pre-pandemic revenue peak from Q1 2020 by over 100%.
Hopper has over 60 million downloads, consistently ranks as one of the most downloaded travel apps, and now has a larger air travel market share in North America than it did before the pandemic (source : MIDT).
The company is on track to surpass $1.5 billion in travel sales this year, with 40% coming from the hotel and car rental categories.
Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent 50% of its revenue. - Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel fintech.
The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.
All this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!