Hopper
Montreal, QC
201-500 employees
Hopper uses big data to predict flight and hotel prices, and will notify you when it's the best time to book.
Prior Listings
- Senior Data Scientist
- Senior Data Analyst, APAC Marketplace
- Data Analyst
- Sr Data Scientist, Hotels Marketplace
- Data Engineer, Hopper Cloud
- Data Analyst
- Data Analyst
- Senior Data Scientist, Hotel Fintech
- Senior Operations Research Scientist
- Senior Machine Learning Developer - Pricing Strategy, Europe
- Manager, People Analytics
- Senior Data Scientist, Air
- Product Manager, Marketing Analytics
- FP&A Senior Analyst / Analyst
- Senior Data Scientist, Ground Transportation
- Senior Software Engineer, Back End/Data
- Data Analyst - App Experience
- Senior Data Scientist, Virtual Interlining
- Data Engineer - Finance Automation
- Data Analyst - Product Finance
Senior Data Scientist - HTS - Fintech Ancillaries
Senior Data Scientist - HTS - Fintech Ancillaries
This job is no longer open
About the job
As a Sr Data Scientist, you will be focusing on solving data and engineering problems that allow Hopper to offer products that help our customers navigate common travel headaches (like flight delays, cancellations, or price anxiety), and ultimately get where they want to be.
This role will touch all of Hopper’s fintech products and be focused on delivering Hopper’s products to B2B partners. Your primary focus will be improving upon existing ML pricing models as well as developing and deploying new frameworks for us to better price our products.
You will own the entire model development, deployment, and performance tracking for several B2B partners.
What would your day-to-day look like:
- Ensure we are priced correctly based on changing demand environments and external conditions. Identify segments where we are mispriced and deploy scalable solutions to correct pricing models
- Think beyond “just the model” by challenging existing product construction and UX, and building data-backed business cases to ship alternatives that improve the customer experience
- Initiate, develop, and maintain data pipelines that power our decision making
- Measure business performance by identifying and refining KPI metrics and creating reporting frameworks to continuously monitor them
- Find new opportunities for revenue growth by becoming the expert on our data and customers
An ideal candidate has:
- A proven track record of solving complex problems with in depth understanding of data, product and business impact
- High attention to detail and ability to create scalable data solutions
- Strong creative problem-solving skills and critical thinking competencies
- Ability to effectively communicate pricing decisions and performance to executive-level stakeholders
- Designed, implemented, and deployed pricing models into production using modern technologies
- Fluency in using SQL for data creation, maintenance and analysis
- High proficiency in Python
- Experience with data visualization to convey ML models behavior and business insights
- Worked on a consumer product and has shipped high impact models at scale
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
- Flexdesk All Access Pass 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, vision, disability and life insurance plans
- Up to 4000$ per year in Health Reimbursement Account (HRA)
- FSA/ DCA: Hopper offers pre-tax deduction for out-of-pocket expenditures for health and dependent care
- costs.
- Access to a 401K plan
- Annual maximum** is $3,200 for health care, and $5000 for dependent care.
#posttoexternal
This job is no longer open