Jobs
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Indexed directly from employers. Every age is their own publish date.
Searching titles and descriptions for “Staff Data Scientist, Pricing”. A match may be a passing mention rather than the job itself. Titles only.
11 roles
…In this role, we're looking for a Data Scientist to own the modeling and experimentation at the core of how Square prices globally…
…user experience, pricing, marketing, regulation, driving and car data, data science models, segmentation, and market trends - Build AI-native experiences that give our customers…
…They will work closely with Economists, Data/Applied Scientists, Software Engineers and Product Managers to integrate economic insights into policy and systems production. About…
…and Gifting, and the pricing and packaging decisions behind them. You'll partner closely with product, engineering, finance, and data teams to measure the…
…You will own end-to-end research (from problem formulation and data analysis through modeling and stakeholder communication) in areas such as pricing, demand…
…Lead the buildout of a unified serving stack that eliminates per-model one-off implementations and gives data scientists a turnkey path from training…
…transforms, and stores data for modern lakehouse architectures — powering billions of queries, DML, and DDL operations with industry-leading price-performance. We lead the…
…As the Staff Data Scientist for International, you’ll be the senior analytics voice - shaping how we define success, unlocking structural growth opportunities, and…
…at scale, with demonstrated staff/senior staff-level scope and impact. Deep knowledge of machine learning, optimization, and data analysis techniques. Experience in ad…
…The Pricing & Packaging team is looking for Staff Software Engineer to drive the development of Gusto’s internal Commerce Platform solutions. You’ll own…
…You’ll sit at the heart of our ecosystem, collaborating with Account Managers, Product Teams, and Data Scientists to uncover hidden opportunities, master fraud…