Top Tech Jobs & Startup Jobs in Seattle, WA

Leads tax reporting, withholding, garnishment, lien, and independent-contractor earnings compliance initiatives. Partners with Product, Engineering, Tax, Legal, Finance, and Compliance to convert regulatory requirements into scalable processes and platform capabilities. Drives analytics, KPIs, automation, AI-enabled improvements, product roadmap input, business readiness, UAT, defect governance, and deployment oversight. Ensures accurate, transparent, audit-ready earnings operations and regulatory compliance.

Lead complex, cross-functional technology and operations programs for Marketplace Seller Risk. Define roadmaps, budgets, KPIs, and mitigation strategies; partner with Product, Engineering, Data Science, Compliance, and Business teams to deliver scalable, data-driven solutions that improve marketplace integrity and operational performance.

Leads applied scientists in building and deploying AI, GenAI, machine learning models, and agentic solutions for merchandising, supply chain, and store operations. Develops anomaly investigation tools, integrates LLMs, retrieval, classical ML, and causal techniques, and mentors technical teams. Partners with product, engineering, and business stakeholders to deliver scalable, production-grade solutions using Python, distributed systems, ML pipelines, and cloud platforms.

Develop and deploy predictive and machine learning models, build data strategies, validate model performance, and translate complex business problems into actionable insights. The role involves sourcing and assessing data, creating visualizations, collaborating cross-functionally, monitoring production models, and mentoring junior data scientists. Candidates will apply statistical methods, coding, testing, and data storytelling to support strategic business decisions.

Leads advanced analytics projects that solve business problems and improve operational performance and customer experience. Develops analytical models, prototypes, reporting, insights, and strategic recommendations; manages project workstreams and risk mitigation; and partners with leadership, product, engineering, business teams, and external stakeholders. Builds and mentors a high-performing analytics team while communicating findings and influencing strategic decisions.

Lead cross-functional technology and operational initiatives for Marketplace Seller Risk. Plan and execute programs, define goals and risks, build dashboards and analyses, partner with Product/Engineering/Operations/Compliance, improve processes and governance, support financial planning, and communicate status and insights to leadership to reduce fraud and improve marketplace integrity.

Senior Data Scientist will design, validate, and deploy scalable ML models (recommendation systems, NLP), source and ensure data quality, assess model performance, produce visualizations, collaborate with stakeholders, and mentor junior team members to deliver data-driven solutions that optimize business outcomes.

Lead data science strategy and a rapid-prototyping team to build production-grade ML and GenAI solutions for contractor earnings, tax, and compliance. Drive model governance, automation, and cross-functional delivery to reduce errors, mitigate risk, and scale measurable ROI across product, engineering, and operations.