Senior Applied Data Scientist, Hopper

Fintech Foundation

Salary not provided

SQL

Python

Junior and Mid level

Remote from Ireland

More information about location

Travel booking app

Open for applications

Travel booking app

1001+ employees

B2CHospitalityB2BTravelArtificial IntelligenceBig dataAnalyticsMachine Learning

Open for applications

Salary not provided

SQL

Python

Junior and Mid level

Remote from Ireland

More information about location

1001+ employees

B2CHospitalityB2BTravelArtificial IntelligenceBig dataAnalyticsMachine Learning

Company mission

To make booking travel faster, easier, and more transparent.

Job

Company

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

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
Please note this is a fulltime/ contractor role

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

Top investors

-1% employee growth in 12 months

Glassdoor (3.59)

Trustpilot (1.5)

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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