Staff Data Scientist

Who you are

• 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
• 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

What the job involves

• 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
• 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

Benefits

• Comprehensive healthcare coverage and other benefits
• Opportunities for professional growth in a fast-paced tech environment
• Stock options that offer a stake in our success
• Modern office located in the vibrant city of Austin, Texas
• Annual stipends for hotel stays and travel, allowing you to experience our partner offerings firsthand