Senior Data Scientist, Hopper
Lodging Pricing
$110-300k
+ Pre-IPO stock options + Sign-on bonus & other potential incentives
Travel booking app
Open for applications
Travel booking app
1001+ employees
Open for applications
$110-300k
+ Pre-IPO stock options + Sign-on bonus & other potential incentives
1001+ employees
Company mission
To make booking travel faster, easier, and more transparent.
Role
Who you are
- We are looking for someone who has a real bias for action, takes ownership, thrives on autonomy and delivers results
- Experience with pricing experimentation or demand forecasting is a requirement for this role
- Fluency in using SQL and and either Python or R
- Strong oral and written communication skills - an ability to communicate complex technical concepts to a non-technical audience
- Experience of working with large dataset
- High attention to detail and ability to create scalable data solutions
- Worked on a consumer product and has shipped high-impact models at scale
- Experience in launching, analyzing, and setting frameworks for A/B tests with the ability to run statistical tests
What the job involves
- You will play a pivotal role in tackling data and engineering challenges aimed at enhancing Hopper's ability to effectively price its lodging offerings, making Hopper the best place to book hotels and vacation rentals
- This role has a tremendous impact on the vision and success of the company. It's a unique opportunity to join one of Hopper's strategic lodging teams, and get access to fascinating and massive market and behavioral pricing data sets
- Your main responsibility will revolve around taking charge of our pricing analytics and prediction, ensuring data accessibility, and delivering insights that will shape our strategic direction
- In this role you will be part of a cross-functional team of product managers, data scientists, and engineers who work closely together to make travel easier and reach millions of users in the process
- Support our pricing experimentation: Measure the impact of new pricing features and surface insights with a strong and coherent data narratives
- Improve our Pricing Models: Design, develop, test and deploy foundational modeling for pricing recommendations and algorithms to optimize pricing
- Stay on top of our pricing metrics and reporting frameworks: Identify, refine, and track key performance indicators critical to assessing pricing performance. Develop and maintain reporting frameworks that allow for continuous monitoring and reporting of revenue impact and price elasticity
- Work with large and sophisticated datasets: Conduct thorough data analysis using SQL, Python, or R to extract meaningful insights. Clean, transform, and aggregate data from various sources to ensure accuracy and reliability. Develop recommendations for scalable data pipelines and automated reporting systems for implementation by our Engineering teams
- Capture Revenue Optimization Opportunities: By becoming an expert in our data and understanding our customers and demand thoroughly, proactively identify pricing opportunities. Collaborate with the product and engineering teams to implement strategies that capitalize on these opportunities
- Find your own problems to solve: Identify data-related challenges and develop a roadmap to solve these challenges independently. Demonstrate a proactive approach and a commitment to data quality and accuracy
Our take
Hopper is a mobile application that uses big data to predict and analyse airfare and accommodation prices, delivering savings to users. The company was created to make booking travel faster, easier, and more transparent by leveraging the power that comes from combining large amounts of data with machine learning.
As well as its booking platform, the company also has a B2B offering called HTS (Hopper Technology Solutions), which enables travel providers to integrate Hopper's travel, fintech and eCommerce products. Major partners of this initiative include Marriott, Kayak and Capital One.
Lately, the company has focussed on innovation and international expansion, with the intent to grow its operating margins. It has not been unaffected by the economic landscape, and made a round of lay-offs in 2023, although this appears to be part of a wider move towards profitability rather than a sign of trouble.
Steph
Company Specialist
Insights
Some candidates hear
back within 2 weeks
-1% employee growth in 12 months
Company
Funding (last 2 of 10 rounds)
Nov 2022
$96m
LATE VC
Aug 2021
$175m
SERIES G
Total funding: $731m
Company benefits
- Work from home opportunities
- Well-funded and proven startup with large ambitions and stock options
- Unlimited PTO
- 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
- Access to a Retirement Savings Plan
- Immigration assistance
- Internal career mobility program
- Light internal meeting culture
- 100% employer paid medical, dental, vision, disability and life insurance plans
- Access to a 401k
Company values
- Dive Deep. Leaders exhibit this principle by operating at all levels, staying immersed in the details, gathering data and employing first-hand knowledge while staying skeptical of any assumptions. It’s through diving deep that they earn the trust of others and the freedom to take real ownership of our work
- Bias for Action. Leaders deliver results, move fast and simplify problems that others find complex. Speed matters in business and most decisions are reversible. We can almost always learn more through action than through analysis. Leaders do things; they don’t just talk about things
- Take Ownership. Leaders are owners; not managers. They think long-term, believe no task is beneath them and act on behalf of the entire company. They are vocally self critical and benchmark themselves and their teams against the best
- Do the Right Thing. There are two parts to this leadership principle. The first is having the judgment to identify the right thing for the business and then doing it, most of the time. It’s important for leaders to be right a lot. The second part is taking a long-term view of what’s right for the business and our customers and acting only with the best intentions. Good judgment + good intentions = great leader
Company HQ
La Petite-Patrie, Montreal, QC
Articles
Leadership
Frederic Lalonde
(CEO)Previously worked for 4 years at Expedia, first as VP of Hotel Supplier Strategy then as VP of Hotels and Packages Product Planning.
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