Senior Data Scientist, Virtual Interlining
United States
About the teamThe mission of the Virtual Interlining team is to guarantee that Hopper is able to offer the most competitive and robust inventory selection for our customers. We collect 30 billion airfare quotes every day from flight searches happening across the web, with about seven years of historical data, so we can track prices, measure interest, and ultimately detect price trends to know what is the best price for a given route. We now want to leverage this vast data infrastructure to make travel more accessible for our customers by offering a more robust, unique, and cheaper flight inventory selection that users cannot find elsewhere. We aim to do this by building sophisticated flight search optimization algorithms to solve complex travel planning and pricing problems and construct new inventory that improves our pricing and selection for customers.
About the roleWe’re looking for a data master to join our team as a Senior Data Scientist to drive data-centric product development and marketplace growth in collaboration with our high-performing team of PMs, operations research scientists, and engineers.
You will work closely with the team to build highly performant pricing models and identify areas for inventory pricing improvement, conduct analyses to understand the effectiveness of our inventory construction and model risk, and ultimately help deliver higher performing route optimization.
Virtual Interlining is a fast-growing product that is expected to be one of the largest drivers of growth for the air business in the next year. You may be a great fit for our team if you are an exceptional explorer who doesn't compromise on understanding the root cause of a new trend, truly dive deep into a problem, and are able to apply first principle thinking and product intuition to your work.
Responsibilities
- Partner with product and engineering teams to contribute to product improvements and initiatives. Frame and conduct complex analyses and model building needed to deepen our understanding of air pricing trends and our users.
- Use machine learning and big data tools on tremendously large and complex data to deepen our data-driven travel planning and pricing modeling.
- Conduct research into various aspects of our product and employ modeling techniques to make recommendations to non-technical stakeholders.
Benefits
- Well-funded and proven startup with large ambitions, competitive salary 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 = massive impact
- 100% employer paid medical, dental, vision, disability and life insurance plans
- Access to a 401k
We owe our success, in large part, to a proprietary suite of data-driven and risk-based financial services that we have developed that complement a customer's trip-purchasing experience. One example is Price Freeze, where our customers are able to purchase a financial option in the app to lock in any price that they see, on any item, for as short as 1 hour or as long as 21 days with Hopper taking the risk on the other side of the trade.
Now we're laying the groundwork for continued expansion in 2021 by adding great people to our team who can help us compete with the travel giants.
#LI-Remote
Tags: Airflow AWS Azure Big Data Computer Science Data Mining Engineering GCP Machine Learning ML models Pandas R RDBMS Research Spark SQL Statistical modeling Statistics TensorFlow
Perks/benefits: Career development Competitive pay Equity Health care Home office stipend Insurance Startup environment Travel Unlimited paid time off
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