Top Tech Jobs & Startup Jobs in Seattle, WA

Manages partnerships with small-to-mid-sized retail accounts by executing account strategies, analyzing sales and operational performance, developing KPIs and improvement plans, and driving partner growth. Builds long-term relationships, identifies business opportunities, supports pipeline development, collaborates cross-functionally, and provides informal mentorship. The role emphasizes data-driven performance optimization, operational efficiency, and strategic partner success.

Lead the end-to-end development and deployment of advanced machine learning models for marketplace risk and ecommerce challenges. Responsibilities include data-source validation, exploratory analysis, feature engineering, model evaluation, scalable ML architecture, stakeholder consultation, and translating business needs into measurable data strategies. The role also requires mentoring technical team members, applying emerging AI techniques, and driving reliable, high-impact data science solutions.

Lead delivery of scalable software features and AI/ML-integrated models. Design, develop, test, debug, and maintain software using Java, JavaScript, and Python while driving CI/CD, automated testing, observability, and performance improvements. Collaborate with stakeholders, conduct code reviews, evaluate technical trade-offs, mentor peers, and support secure, maintainable platform solutions.

Conducts data analysis, develops and tests models, prepares datasets, creates dashboards, and delivers actionable business insights. Supports small analytics projects, executive presentations, process improvements, and stakeholder solutions for Seller Marketplace operations. Collaborates cross-functionally to identify trends, optimize workflows, and enhance AI-driven tools, escalation speed, and case management accuracy.

Leads data science strategy and multiple machine learning products across Walmart Marketplace. The role guides data science teams, identifies business opportunities for advanced ML, translates requirements into production solutions, establishes metrics, measures business impact, and drives ML Ops best practices. Responsibilities include stakeholder influence, model evaluation, scalable deployment, innovation, cross-functional leadership, and development of solutions using forecasting, optimization, NLP, causal inference, graph ML, experimentation, and generative AI.

Leads process improvement initiatives across Marketplace Risk Operations by analyzing workflows, identifying root causes, managing intake, updating SOPs, coordinating stakeholders, supporting implementation, and measuring outcomes. The role drives operational efficiency, reduces risk, standardizes processes, and enables sustainable change through cross-functional collaboration, data analysis, and continuous improvement methodologies.

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities, infrastructure, tooling, and AI/ML frameworks. Build AI-driven applications, conduct system design reviews, apply software engineering best practices, and ensure system resilience and maintainability. Mentor engineers, influence technical strategy, collaborate with stakeholders, define success metrics, and continuously improve products and engineering processes.

Leads the architecture and development of scalable, cloud-native, AI-powered software systems for Walmart Marketplace. Owns service execution and architectural integrity, drives DevOps, CI/CD, reliability, incident analysis, and performance improvements, and resolves architectural bottlenecks. The role also mentors engineers, promotes strong design and testing standards, and collaborates cross-functionally to deliver maintainable, business-aligned solutions.

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.

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.