Posted at: 23 February

Applied Data Scientist - Fintech Foundation

Company

Hopper

Hopper is a travel booking platform headquartered in an unspecified location, specializing in B2C digital travel solutions for hotels, flights, and car rentals, serving a global market.

Remote Hiring Policy:

Hopper supports remote work and hires from various locations, with team members based in regions such as New York, New Jersey, Washington D.C., and Chicago.

Job Type

Full-time

Allowed Applicant Locations

United States

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Job Description

Applied Data Scientist - Fintech Foundation

Boston / Austin, United States / Miami, United States
Fintech – Data Science /
Full-Time /
Remote
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About the job

Hopper is continually redefining how people travel, combining a best-in-class travel agency with a portfolio of proprietary fintech offerings that give our customers peace of mind when booking travel.  More than 100M monthly active users are exposed to our products through our mobile app and a growing list of partners such as CapitalOne, Air Canada, and Spirit Airlines.  With a real-time feed of 50B+ priced itineraries daily along with more than ten years of history and multiple external data sources, we have unparalleled insight about pricing and demand trends.   

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.

What would your day-to-day look like:

    • 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.

An ideal candidate has:

    • 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.

Perks and benefits of working with us:

    • Well-funded and proven startup with large ambitions, competitive salary and the upsides of pre-IPO equity packages.
    • Unlimited PTO.
    • Carrot Cash travel stipend.
    • Access to co-working space on demand through FlexDesk AND Work-from-home stipend.
    • Please ask us about our very generous parental leave, much above industry standards!.
    • Entrepreneurial culture where pushing limits and taking risks is everyday business.
    • Open communication with management and company leadership.
    • Small, dynamic teams = massive impact.
    • 100% employer paid Medical, Dental and Vision coverage for employees.
    • Access to Disability & Life insurance.
    • Health Reimbursement Account (HRA).
    • DCA/ FSA and access to 401k plan.
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