BSc or MSc in a quantitative field such as math, physics, statistics, or economics., Two or more years of experience in data analysis and predictive modeling in a business environment., Strong coding skills in SQL and Python., Excellent communication and creative problem-solving abilities..
Key responsabilities:
Collaborate with cross-functional teams to understand business requirements related to pricing.
Create datasets for analysis and modeling through data engineering.
Implement and monitor automated ML training pipelines and pricing models.
Conduct A/B tests and respond to ad hoc analysis requests from business partners.
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At Hopper, we’re on a mission to build the most customer-centric travel company on earth. We are leveraging the power that comes from combining massive amounts of data and machine learning to build the world’s fastest-growing mobile first travel marketplace -- one that enables our customers to save money and travel better.
Hopper’s goal is to reduce traveler anxiety throughout all stages of the trip buying and taking process. By creating a transparent travel marketplace and unique, data-driven financial technology products focused on providing peace-of-mind, Hopper adds value along each step of the customer’s journey.
Hopper has launched several bespoke fintech products that leverage our immense first and third-party data to create products and value that do not exist elsewhere - including Refundable and Flexible Tickets and Price Freeze. Thanks to these offerings, Hopper’s revenue growth is up 112% despite the travel slowdown due to COVID-19.
With over $250M in funding from leading investors in both Canada and the US, Hopper is primed to continue its acceleration to becoming the world’s fastest-growing end-to-end customer-centric travel offering.
Recognized as one of the world’s most innovative companies by Fast Company three years in a row, Hopper has been downloaded over 50 million times and sees over 1 million new installs per month. The app has received high praise in the form of mobile accolades such as the Webby Award for Best Travel App of 2019.
Come take off with us!
*All of our open positions are always listed here and please be advised that our team will reach out via a Hopper email address.*
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 upsides of pre-IPO equity packages.
Hopper covers 100% of the premiums for group insurance plan.
Hopper offers life, short term and long term disability coverage.
HSA that covers eligible medical and dental expenses.
All employees and dependents have access to Dialogue’s telemedicine services, anytime, anywhere.
All employees have access to an RRSP plan with automatic pre-tax withdrawals per pay.
Please ask us about our very generous parental leave, much above industry standards!.
Unlimited PTO.
Carrot Cash travel stipend.
Access to co-working space on demand through FlexDesk AND 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 = massive impact.
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Required profile
Experience
Industry :
Information Technology & Services
Spoken language(s):
English
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