Data Science Engineer Jobs at Hopper with Visa Sponsorship
Hopper hires Data Science Engineers to build the predictive models and pricing algorithms behind its travel platform, and the company has a track record of sponsoring work visas for qualified candidates in this function. If you're targeting a data science role in the travel-tech space, Hopper is a realistic path.
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Get Access To All JobsAbout The Team
Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About The Role
As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What Would Your Day-to-day Look Like
- Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
- Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
- Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
- Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
- Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
- Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions
An ideal candidate has
- 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
- Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
- Experience in data modelling, software architecture, and distributed data processing frameworks at scale
- Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
- Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
- A product mindset that keeps the customer outcome in view, even when the work is deeply technical
- Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences
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.
- Access to co-working space on demand through FlexDesk 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 and Vision coverage for employees.
- Access to Disability & Life insurance.
- Health Reimbursement Account (HRA).
- DCA/ FSA and access to 401k plan.
More about Hopper
At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more.
Here are just a few stats that demonstrate the company’s recent growth:
- Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year.
- Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.
- Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.
- Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business.
- Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more.
- Hopper has been named the #1 most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers.
- Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us!
Compensation Range: $110K - $250K
About The Team
Hopper's Fintech Foundation team sits at the centre of the company's mission: reshaping how more than 100 million monthly active users experience travel. It owns the pricing engine that balances customer demand against financial risk across dozens of partners — including Capital One, Air Canada, and Spirit Airlines. As an ML engineer on this team, you will directly shape how Hopper prices ancillary products in real time and at scale.
About The Role
As a Software Engineer on the Fintech Foundation team, you will design, build, and evolve the machine learning systems that power Hopper's pricing engine. Your work will have direct impact on revenue, financial risk management, and the customer experience across the full partner portfolio. You will work closely with the Data Science, Engineering, and Product teams to deliver pricing solutions that are reliable, scalable, and oriented toward commercial outcomes.
What Would Your Day-to-day Look Like
- Design and implement automated, reusable training pipelines to ensure consistent, scalable model delivery across the partner portfolio
- Build ETL pipelines with thoughtful feature engineering to guarantee clean, reliable inputs for pricing models
- Develop and deploy real-time ML pricing solutions to production, owning the full path from model to live environment
- Monitor production systems for latency, drift, and training-serving skew, optimising continuously to maintain model integrity
- Run champion-challenger tests on pricing and product construction levers to surface improvements and respond to shifting market conditions
- Partner with data scientists, engineers, and product stakeholders to translate business needs into well-scoped technical solutions
An ideal candidate has
- 5+ years of experience in a similar role, ideally within production ML systems or large-scale pricing platforms
- Proficiency in Python, Scala, and SQL, applied to production ML systems rather than exploratory work
- Experience in data modelling, software architecture, and distributed data processing frameworks at scale
- Deep understanding of ML algorithms and when to apply them in the context of pricing, demand forecasting, or similar commercial domains
- Strong analytical instincts and attention to detail, with a track record of catching issues before they reach production
- A product mindset that keeps the customer outcome in view, even when the work is deeply technical
- Clear, collaborative communication skills that hold up across data science, engineering, and business stakeholder audiences
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.
- Access to co-working space on demand through FlexDesk 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 and Vision coverage for employees.
- Access to Disability & Life insurance.
- Health Reimbursement Account (HRA).
- DCA/ FSA and access to 401k plan.
More about Hopper
At Hopper, we are on a mission to become the leading travel platform globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. We have developed several unique fintech solutions that address everything from pricing volatility to trip disruptions – helping people travel better and save more on their trips. The Hopper platform serves hundreds of millions of travelers globally and continues to capture market share around the world. The Hopper app has been downloaded over 120 million times and has become largely popular among younger travelers – with 70% of its users being Gen Z and millennials. While everyone knows us as the Gen Z and Millennial travel app, Hopper has evolved to become much more than that. In recent years, we’ve grown into a travel fintech provider, commerce platform, and global travel agency that powers some of the world’s largest brands. Through HTS, our B2B division, the company supercharges its partners’ direct channels by integrating our fintech products on their sites or powering end-to-end travel portals. Today, our partners include leading travel brands like Capital One, Nubank, Air Canada, and many more.
Here are just a few stats that demonstrate the company’s recent growth:
- Billions of dollars worth of travel and travel fintech are sold through Hopper and HTS’ channels every year.
- Our fintech products – including Cancel for Any Reason and Flight Disruption Assistance – have exceptionally strong CSAT because the terms are always clear, and customers receive instant, no-questions-asked resolutions.
- Almost 30% of our app customers purchase at least one fintech product when making a booking; and consumers are 1.6x more likely to repurchase if they add fintech to their booking vs if they booked just travel.
- Given the success of its fintech products, Hopper launched a B2B initiative, HTS (Hopper Technology Solutions), which represents more than 75% of the business.
- Through HTS, any travel provider (airlines, hotels, banks, travel agencies, etc.) can integrate and seamlessly distribute Hopper’s fintech or travel inventory on their direct channels. As its first HTS partnership, the company partnered with Capital One to co-develop Capital One Travel, a new travel portal designed specifically for cardholders. Other HTS partners include Air Canada, Uber, CommBank, Nubank, Flair Airlines and many more.
- Hopper has been named the #1 most innovative company in travel by Fast Company. Hopper has been downloaded over 120 million times and continues to have millions of new installs each month. Hopper is now the #3 largest online travel agencies in North America and 70% of our app customers are Gen-Z and millennials travelers.
- Hopper has raised over $750 million USD of private capital and is backed by some of the largest institutional investors and banks in the world. HTS is primed to continue its growth as the leading travel ecommerce provider in a $1 trillion online shopping category. The Hopper app and website will also continue to be the preferred travel provider for Gen Z and Millennials. Come take off with us!
Compensation Range: $110K - $250K
See all 44+ Data Science Engineer at Hopper jobs
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Get Access To All JobsTips for Finding Data Science Engineer Jobs at Hopper Jobs
Frame your ML work around travel demand
Hopper's data science work centers on price prediction, fare forecasting, and customer behavior in the travel market. Tailor your portfolio to show experience with time-series models, dynamic pricing, or demand forecasting rather than general ML projects.
Verify your degree aligns with specialty occupation criteria
USCIS requires a direct relationship between your degree field and the Data Science Engineer role. A degree in statistics, computer science, or a closely related quantitative field strengthens your H-1B petition considerably. Misalignment is one of the most common RFE triggers for this role type.
Target Hopper's fintech and pricing teams specifically
Hopper operates a financial products arm alongside its travel platform. Data Science Engineer roles tied to fintech products like price freeze or cancel-for-any-reason often have distinct skill requirements, so filtering job listings by product area sharpens your application.
Browse open roles using Migrate Mate
Use Migrate Mate to filter Data Science Engineer openings at Hopper by visa sponsorship type. It surfaces roles where H-1B or Green Card sponsorship is confirmed, saving you time spent researching sponsorship eligibility manually across job boards.
Understand Hopper's H-1B cap-exempt timing risk
Hopper is a cap-subject employer, so H-1B petitions must be filed in the annual lottery window each April for an October 1 start. If you're between jobs, your 60-day grace period may not align with that timeline, so plan your job search accordingly.
Prepare for a technical screen grounded in production systems
Hopper's interview process for data science roles typically tests applied modeling and engineering depth, not just algorithm theory. Demonstrating experience shipping models to production, particularly in a high-transaction environment, positions you well before sponsorship conversations begin.
Data Science Engineer at Hopper jobs are hiring across the US. Find yours.
Find Data Science Engineer at Hopper JobsFrequently Asked Questions
Does Hopper sponsor H-1B visas for Data Science Engineers?
Yes, Hopper sponsors H-1B visas for Data Science Engineers. The company has an active pattern of filing H-1B petitions for technical roles in data science and machine learning. Because Hopper is a cap-subject employer, sponsorship is tied to the annual USCIS lottery, with petitions filed in April for an October 1 start date.
How do I apply for Data Science Engineer jobs at Hopper?
Applications go through Hopper's careers page, where roles are listed by team and location. Before applying, confirm the listing includes visa sponsorship, as not all postings do. Migrate Mate filters Hopper's open Data Science Engineer roles by sponsorship type, so you can identify the right positions without reviewing each listing individually.
Which visa types does Hopper commonly use for Data Science Engineers?
Hopper primarily sponsors H-1B visas for Data Science Engineers, which require a specialty occupation determination and an approved Labor Condition Application filed with the DOL. For candidates seeking permanent residence, Hopper has also pursued EB-2 and EB-3 Green Card sponsorship through the PERM labor certification process for roles in this function.
What qualifications does Hopper expect for Data Science Engineer roles?
Hopper's Data Science Engineer roles typically require a bachelor's degree or higher in computer science, statistics, mathematics, or a closely related field. Strong candidates bring experience with predictive modeling, large-scale data pipelines, and production ML systems. In the travel-tech context, familiarity with pricing models, recommendation systems, or demand forecasting is a meaningful differentiator.
How do I plan my timeline if I need H-1B sponsorship through Hopper?
The H-1B lottery opens in March, with petitions filed in April and employment starting October 1 at the earliest. If you're on OPT, confirm your end date leaves enough runway to clear the lottery before your work authorization expires. F-1 graduates with STEM OPT extensions have up to three years of post-graduation work authorization, which provides more flexibility to align with the April filing window.
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