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Top Remote Data & Analytics Jobs in Seattle, WA
As a Data Engineer on the Marketing Data Engineering team, you will build and maintain essential data infrastructure, develop ETL processes, and collaborate with various teams to ensure accurate data flow and reporting. Your role directly influences revenue growth and stakeholder decision-making through efficient data pipelines and anomaly detection.
The Data Scientist will lead the development of machine learning capabilities, focusing on building production-grade algorithms for anomaly detection and prediction. Responsibilities include managing ML projects from inception to deployment and collaborating with a skilled team to enhance data reliability solutions.
The Director of BI Analytics Engineering & Data Governance will lead the analytics engineering team to enhance data accessibility and governance. Responsibilities include managing cross-functional projects, fostering data democratization, productizing data, and collaborating with stakeholders. This role involves strategic leadership, program management, and promoting data literacy throughout the organization.
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As a Risk Strategist on the Fraud team at Stripe, you will be responsible for reducing losses from merchant risk by monitoring accounts, scaling risk processes, and working with internal partners to tailor fraud risk management techniques. You will challenge the status quo in the payments industry and help innovative businesses thrive online.
As a Database Administrator at Instructure, you'll work on ensuring data safety and availability, maintain database systems, automate processes, collaborate with team members, and address database problems proactively. You'll be part of an on-call team and engage in performance tuning while mentoring less technical colleagues.
The Senior Total Rewards Analyst will develop and manage global compensation and benefits programs, ensuring they align with the company's strategy. Responsibilities include conducting market analysis, administering compensation reviews, and designing benefits programs to enhance employee experience and attract talent.
The Sr. Data Scientist/Machine Learning Engineer will develop LLM solutions, optimize ML pipelines, advise clients on data science best practices, and provide technical mentorship. This role involves collaboration with product and engineering teams to influence the roadmap and presenting at conferences.
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