Minimum qualifications

• A degree in Math, Statistics, Computer Science, Engineering or other quantitative disciplines

• Extremely strong analytical and problem-solving skills

• Proven ability to communicate complex technical work to a non-technical audience

• A strong passion for and extensive experience in conducting empirical research and answering hard questions with data

• Experience with relational databases and SQL, especially Hive

• Experience working with extremely large data sets

• Experience in Pandas, R, SAS or other tools appropriate for large scale data preparation and analysis

• Experience with data mining, machine learning, statistical modeling tools and underlying algorithms

• Proficiency with Unix/Linux environments

About the job 

At Hopper, every dataset tells a story. Do you have what it takes to decipher the clues? bit.ly/2q6U8dq

We’re looking for a data-savvy individual to join our team as a Senior Data Scientist to drive data-centric product development and net revenue growth in collaboration with our PMs, product designers, and engineers. 

You may be a great fit for our team if you are excited about exploring huge (and sometimes messy) data sets and finding effective ways to simplify and communicate the results to a non-technical audience.

About the team

Leveraging data science to solve customers’ problems is in Hopper’s DNA. While this began with helping customers plan and book travel more intelligently, we have extended our capabilities to ensure customers secure the best fares for their trips with unique product offerings like Price Freeze and Price Drop Protection. These product offerings currently make up almost half of Hopper’s revenue and have helped drive Hopper’s growth despite the travel slowdown due to COVID-19.

Customers that book with Hopper and use Price Drop Protection can be confident they won’t miss out on a lower price. We continue monitoring a customer’s trip for a lower price after booking and, if the price drops, offer them the difference back. Price Freeze lets customers that are not yet ready to book lock in great flight deals at a low cost for anywhere from 12 hours to 14 days. As a Senior Data Scientist on this team, you will run experiments to test the models you build by tapping into Hopper’s massive user base, and lead efforts to improve our pricing and risk modeling, among other goals.

Responsibilities

• Frame and conduct complex exploratory analyses needed to deepen our understanding of our users. Partner with product, business and strategy teams to contribute to product improvements and initiatives
• Use machine learning and big data tools on tremendously large and complex data to deepen our data-driven advice and personalized modeling
• Conduct research into various aspects of our business and employ statistical and modeling techniques when appropriate 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 

More about Hopper

Today, Hopper is best known as a travel app. We're going to do about $1B in sales this year and weathered the COVID storm better than anyone expected. We just raised $170M from Goldman Sachs and Capital One, and inked a deal to be the exclusive travel provider for Capital One Travel.

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.

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