Senior Data Scientist - HTS - Fintech Ancillaries
Boston
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: CX Data pipelines Data visualization Engineering FinTech Machine Learning ML models Pipelines Python SQL UX
Perks/benefits: 401(k) matching Competitive pay Equity Health care Home office stipend Insurance Medical leave Parental leave Startup environment Unlimited paid time off
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