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Lead Faire's product creative quality as a staff-level individual contributor, defining visual language, systems, and AI-native product identity. Partner across pillars, design systems, product designers, and engineers to drive high-ambiguity projects from 0 to 1 and ensure cohesive, high-quality shipped experiences in-product and out-of-product.

Lead marketing analytics and attribution for paid and owned channels: manage attribution ETLs, design and analyze A/B tests, build payback/ROI models and dashboards, partner with finance, performance marketing, and product to set KPIs and recommend spend allocation.

Lead the development of machine learning models for ad bidding at Faire, optimizing performance and influencing marketplace strategy.

Contribute to tax reporting and compliance including ASC 740 provision preparation, transfer pricing, tax account reconciliations, and outsourced filings. Support SOX, audits, ETR/cash forecasts, tax research, R&D credit studies, M&A due diligence, and automation/AI enhancements to tax processes while collaborating cross-functionally.

Develop machine learning models for search ranking and personalization at Faire, leveraging data to help local retailers thrive.

Lead cross-team projects to build scalable data models and pipelines, using AI for data pipeline development and ensuring data quality.

Lead and scale Faire's core value programs, manage a high-performing team, drive economic performance, and enhance retailer experiences through strategic product vision and integration.

The role involves managing People Team data, ensuring its integrity, establishing governance standards, and collaborating with IT on AI projects. It requires technical skills, AI tool evaluation, and problem-solving abilities while translating needs between departments.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

As a Senior Data Scientist/Machine Learning Engineer, you will improve product listing quality through ML and AI, collaborating across teams to implement solutions.