Top Data & Analytics Jobs in Seattle, WA
Join our Cybersecurity, Privacy and Forensics team to drive strategic programs, data analytics, and cyber resilience activities. As an Experienced Associate, you will focus on threat actor simulation, penetration tests, and enhancing client controls. Be part of a center of excellence driving real-world risk assessment and technical acumen.
Snap Inc is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Strong collaboration and mentorship skills are required.
Develop and apply advanced statistical models, leverage analytic techniques, design custom analyses, synthesize and communicate results, develop client relationships, create project deliverables, guide and mentor team members, and advance problem-solving skills.
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Develop and maintain automated data solutions, support shared consumer data platform, analyze and model data, collaborate with team, optimize data pipelines and systems, mentor team members, engage in dialectics.
Develop detailed multi-level atomic models of ion transport in a quantum computing system and contribute to technical requirements and advancements in quantum computing platforms.
Seeking a Principal Data Scientist with strong engineering skills in decision science to lead experimentation and causal methods. Responsibilities include tech leadership, mentoring, and driving standards for technical design and execution. Requires deep experience in data products and infrastructure with expertise in various technologies like Airflow, DBT, git, docker, BI tools, Spark, AWS, Snowflake, scikit-learn, etc.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
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Perform analysis of data to derive business insights, develop reports and visualizations, create models, write queries, and apply statistical methods. Master's degree required. Remote work available in the US.
Develop and maintain sophisticated analytics solutions, automate reporting, analyze complex data sets, collaborate with teams, and ensure data quality for strategic decision-making in a fast-paced environment.
Looking for a Data Scientist to partner with revenue, marketing, and product teams to analyze user behaviors and drive business growth through applied analytics techniques. Responsibilities include deep analysis, segmentation strategies, trend identification, and collaboration with cross-functional teams. Requires 5+ years of experience using analytics to make business decisions and proficiency in SQL, statistical analysis, and experimental design.
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