Description:

Hopper is redefining travel by combining a travel agency with proprietary fintech offerings, serving over 100 million monthly active users.
The Fintech Foundation team optimizes pricing for ancillary products, balancing customer demand with financial risks.
The role involves collaborating with cross-functional product teams to understand business requirements related to pricing.
Responsibilities include data engineering to create datasets for analysis, implementing automated ML training pipelines, and pushing models to production.
The applied data scientist will monitor pricing models, run A/B tests, and respond to ad hoc requests for performance analysis.

Requirements:

Candidates must have a BSc or MSc in a highly quantitative field such as math, physics, statistics, or economics.
A minimum of two years of experience in data analysis and predictive modeling in a fast-paced business environment is required.
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.
Employees enjoy unlimited PTO and a travel stipend through Carrot Cash.
Access to co-working spaces and a work-from-home stipend is provided.
The company offers generous parental leave, exceeding industry standards.
An entrepreneurial culture encourages risk-taking and open communication with management.
Employees are part of small, dynamic teams that have a significant impact.
The company covers 100% of Medical, Dental, and Vision insurance for employees.
Additional benefits include access to Disability & Life insurance, a Health Reimbursement Account (HRA), DCA/FSA, and a 401k plan.