Description:

Hopper is redefining travel by combining a travel agency with proprietary fintech offerings, providing customers peace of mind when booking travel.
The company has over 100 million monthly active users and partners with brands like CapitalOne, Air Canada, and Spirit Airlines.
The Fintech Foundation team optimizes pricing for ancillary products, balancing customer demand with financial risks.
The applied data scientist will contribute to innovative pricing and product construction across multiple partners.
Daily responsibilities include collaborating with product teams, data engineering, implementing ML training pipelines, creating and pushing models to production, monitoring pricing models, running A/B tests, and responding to ad hoc requests for analysis.

Requirements:

A BSc or MSc in a quantitative field such as math, physics, statistics, or economics is required.
Candidates must have two or more years of experience in data analysis and predictive modeling in a fast-paced business environment.
Excellent communication skills and creative problem-solving abilities are essential.
Strong coding skills in SQL and Python are necessary.
A pragmatic approach that prioritizes business impact over statistical nuance is expected.

The position offers a competitive salary and pre-IPO equity packages in a well-funded startup.
Hopper covers 100% of premiums for the group insurance plan, including life, short-term, and long-term disability coverage.
Employees have access to a Health Savings Account (HSA) for eligible medical and dental expenses.
Telemedicine services are available to all employees and their dependents through Dialogue.
An RRSP plan with automatic pre-tax withdrawals per pay is provided.
The company offers generous parental leave, unlimited PTO, and a travel stipend.
Employees can access co-working spaces on demand and receive a work-from-home stipend.
The company promotes an entrepreneurial culture with open communication and small, dynamic teams for significant impact.