Applied Senior Data Scientist, Hopper
Fintech Foundation
+ Pre-IPO equity packages
Travel booking app
Open for applications
Travel booking app
1001+ employees
Open for applications
+ Pre-IPO equity packages
1001+ employees
Company mission
To make booking travel faster, easier, and more transparent.
Role
Who you are
- A BSc or MSc in a highly quantitative field like math, physics, statistics, or economics
- Two or more years experience applying data analysis and predictive modeling skills in a fast-paced business environment
- Excellent communication skills and creative problem solving ability
- Strong coding skills with SQL and Python
- A highly pragmatic approach that values business impact over statistical nuance
What the job involves
- This is a unique opportunity to join our growing Fintech Foundation team
- We’re responsible for optimizing pricing for all ancillary products we sell, balancing customer demand with the financial risks we take on
- We help our product teams deliver new fintech products to market faster, respond rapidly to changing market conditions, run continuous champion-challenger testing on product construction levers, and maintain our growing portfolio of pricing models across dozens of partners
- As an applied data scientist you will play a key role in growing our fintech business through innovative pricing and product construction, operated at scale across dozens of partners
- Collaborating with cross-functional product teams to build a detailed understanding of business requirements and product construction as it relates to pricing
- Data engineering to create appropriate datasets for analysis and modeling
- Implementing automated, reusable ML training pipelines
- Creating and pushing models to production
- Monitoring pricing models to identify weaknesses and opportunities
- Running A/B tests on new data sources, improved algorithms, and different product levers
- Responding to ad hoc requests from our business partners to analyze historical performance and deep-dive into anomalies or diagnose the impact of external events
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 at Welcome to the Jungle
Insights
-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 telemedicine, medical, dental, vision, disability and life insurance plans
Company HQ
La Petite-Patrie, Montreal, QC
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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