Staff Data Scientist
- Compensation
- Not disclosed
- Location
- Austin
- Work setup
- Onsite
- Seniority
- Staff
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- 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 busi
- 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.
- Expert SQL and strong Python skills, with strong foundations in statistics, experimentation, forecasting, and model evaluation.
- 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.
- Strong product judgment: you can take an ambiguous business problem, turn it into a testable question, and choose the simplest rigorous approach capable of answering it.
- High ownership and clear communication, with the ability to work closely with product and engineering from exploration through production.
Full description
ABOUT WAY
Way is building the AI, data, and infrastructure layer for the experience economy.
As artificial intelligence automates labor and people reclaim time, the shift toward spending on experiences over things only accelerates. Way sits at the center of that shift as the platform, intelligence layer, and curated marketplace on which experiences are created, distributed, and sold.
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. Every brand that joins makes the network more valuable to every brand already on it.
That combination of data, workflow, distribution, and network effects is not something that can be vibe-coded into existence. It compounds. It is what positions Way as the durable infrastructure for the experience economy regardless of how the technology landscape evolves.
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.
The Role
We’re looking for a Staff Data Scientist to help build the intelligence layer that will shape the future of Way. You’ll turn the data generated across our platform into trusted insights, models, and decision systems that make every part of the product smarter — from pricing and merchandising to personalization, forecasting, recommendations, and automation.
This is a hands-on, staff-level individual contributor role with broad ownership across data science and analytics engineering. You’ll work closely with Product and Engineering to build our data foundation, identify the highest-impact problems to solve, develop and validate solutions, and bring successful work into production.
You won’t inherit a mature data science organization, a perfectly clean dataset, or a queue of predefined modeling tasks. We’re looking for someone who is excited to build from the ground up, operate with ambiguity, and play a foundational role in how Way uses data and intelligence across the company and product.