Data Scientist, Hopper
Hopper CS Analytics
+ Pre-IPO equity
Travel booking app
Be an early applicant
Travel booking app
1001+ employees
Be an early applicant
+ Pre-IPO equity
1001+ employees
Company mission
To make booking travel faster, easier, and more transparent.
Role
Who you are
- The ideal candidate will have a strong background in SQL, Python, GCP, Airflow, Tableau, Amplitude, and Data Science, focusing on Natural Language Processing NLP
- We are looking for someone who has demonstrated experience in a reputable organization and aligns with our company culture
- This role requires someone capable of handling complex data challenges, building and maintaining data pipelines, and providing actionable insights to drive business decisions
- You may be a great fit for our team if you’re a curious self-starter who thrives in ambiguity, is 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 significant value to our customers
- Extensive experience with SQL for relational database management and complex querying
- Proficiency in Python for large-scale data preparation, analysis, and model development
- Strong experience with data mining, machine learning, and statistical modeling tools, including underlying algorithms
- Proven ability to build and manage data pipelines using Airflow on Google Cloud Platform, ensuring data quality, consistency, and accessibility
- Proficiency in business reporting tools such as Tableau and Amplitude for data visualization and event-based analytics
- Extremely strong analytical and problem-solving abilities, focusing on breaking down complex business problems to identify key data drivers
- Extensive experience conducting empirical research and answering challenging questions with data-driven approaches
- Proven ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders
- Strong ability to communicate models and insights effectively to technical and non-technical audiences
- Comfortable collaborating with engineering teams to identify, implement, and own data science solutions in production environments
- Ability to create ETL pipelines and/or support engineering teams in their creation and maintenance
Desirable
- Experience in the travel or hospitality industry is a plus
- Familiarity with Unix/Linux environments
- Experience with revenue management models and practices in the travel industry
What the job involves
- We’re seeking a highly skilled and experienced Data Scientist to join our CS Analytics team
- Frame and perform complex exploratory analyses to enhance our understanding of Hopper users, focusing on key drivers of conversion, retention, and overall user engagement
- Manage the entire data science lifecycle from data extraction, transformation, and analysis to model development and deployment, collaborating closely with product, engineering, and operations teams to deliver customer-centric products
- Apply advanced data science principles, particularly in NLP, to support ongoing projects, providing insights from unstructured data sources
- Develop and maintain sophisticated dashboards for tracking product experiments, monitoring business unit performance, and analyzing key metrics using tools like Amplitude, Tableau, and BigQuery
- Translate complex analytical findings into clear, actionable insights that non-technical stakeholders can easily understand, ensuring alignment across teams and facilitating data-driven decision-making
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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