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About the Role
We are seeking a Staff Data Scientist to develop the intelligence layer that will define Way's future. You will transform platform data into reliable insights, models, and decision systems to enhance product features such as pricing, merchandising, personalization, forecasting, recommendations, and automation. This is a hands-on, individual contributor role with broad responsibility across data science and analytics engineering. You will collaborate with Product and Engineering to establish our data infrastructure, identify high-impact challenges, develop and validate solutions, and deploy successful work into production. We are looking for someone eager to build from the ground up, navigate ambiguity, and play a key role in how Way leverages data and intelligence company-wide and within the product.
Responsibilities
- Play a foundational role in the future of Way by building the data and intelligence layer that will ultimately power smarter decisions across every aspect of our product - from pricing and merchandising to personalization, forecasting, and automation.
- Build and own Way’s data and analytics foundation, bringing together product, transactional, customer, and partner data into reliable, reusable data products.
- Establish the core metrics, data models, and definitions that give Way and our customers a consistent, trustworthy understanding of their business.
- Identify high-impact opportunities to apply data science and machine learning across the Way platform, then build and ship models, experiments, and decision systems that create measurable value.
- Partner closely with product and engineering to turn data and models into real product capabilities - progressing from insights, to recommendations, to intelligent automation as the evidence supports it.
- Set a high bar for analytical rigor and responsible use of data, clearly communicating what the evidence supports, where uncertainty exists, and where better data is needed.
Requirements
- Significant experience applying data science to real product, marketplace, commerce, or customer problems, with a record of shipping models, experiments, or decision systems that drove measurable business impact.
- Experience building a data and analytics foundation from the ground up - from raw operational and behavioral data through pipelines, modeling, business definitions, and production-ready datasets.
- Experience working at a high-growth startup or similarly fast-moving environment, where you’ve operated with ambiguity, moved quickly, and taken ownership beyond a narrowly defined role.
- High ownership and clear communication, with the ability to work closely with product and engineering from exploration through production.
Skills
- Expert SQL
- Strong Python skills
- Strong foundations in statistics
- Experimentation
- Forecasting
- Model evaluation
- Strong product judgment
Location
- Austin
- San Francisco
- Paris
Work Type
- Full-time
Experience Level
- Staff-level
Salary/Compensations
- Competitive salary calibrated to experience
Benefits
- Full health, dental, and vision
- Meaningful equity
- Annual hotel and travel stipend
About the Company
- Way is building the AI, data, and infrastructure layer for the experience economy.
- Founded in 2020 and headquartered in Austin with offices in Paris and San Francisco.
- Way built the category of experiences in hospitality from the ground up, during a pandemic that had shut the industry down.
- Leading global travel, retail, lifestyle, and hospitality brands leverage Way, including Hyatt, Hilton, Alaska Airlines, Aspen, Piaget, and countless others.
- Way’s position is layered by design: a proprietary data network built on millions of experiential data points, the system of record for experiential operations, an e-commerce layer embedded directly into partners’ customer journeys, and a marketplace through Partner Exchange, where brands across hospitality, travel, lifestyle, and retail co-create and co-sell experiences with one another.
- Way is backed with $22m in capital from Tiger Global and strategic family offices and angel investors.
- The company has mid-8 figures of ARR from a global enterprise customer set, with outstanding growth and efficiency metrics.
- Way is a company for people who want to do the best work of their careers, at a technology company, but in an industry that will continue to flourish as humanity embraces AI.
- The standard for building an exceptional software company has changed, and Way is being built to meet it, with urgency, ownership, and a pace of execution well above the industry norm.
- The market direction is not in question. As AI absorbs more and more work, humans have more time and more money to spend on experiences, and the brands they spend it with need infrastructure they cannot build themselves.