Top Data & Analytics Jobs in Seattle, WA
Responsible for training, tuning, and evaluating models using Deep Learning and Large Language Models. Collaborate with AI engineers to design and maintain ML pipelines. Proficient in crafting ML models and leveraging machine learning frameworks such as SKLearn, XGBoost, PyTorch, and Tensorflow.
The Sr. Analyst position at CrowdStrike involves hands-on technical work in detecting, containing, and remediating security incidents across various platforms. The role emphasizes incident handling, malware analysis, and network forensic analysis to protect organizations from cyber threats.
As a Marketing Data Engineer, you will develop scalable ETL/ELT pipelines, manage cloud-based data warehouses, implement data integration solutions, and ensure data quality for analytics. Collaborating closely with various teams, you will enable machine learning initiatives and optimize data processing workflows while maintaining high data integrity across systems.
Senior Data Engineer (Data Engineer III) role at Chewy's Data Analytics team. Responsibilities include designing and optimizing data systems, managing data integration, providing collaborative leadership and mentorship, implementing innovative solutions, and developing strategic partnerships. Requirements include a Bachelor's or Master's degree in relevant fields, 5 years of data engineering experience, proficiency in SQL and Python, leadership skills, and an analytical mindset.
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The AI & GenAI Data Scientist-Manager at PwC is responsible for leveraging advanced analytics to aid clients in decision-making. The role involves managing teams, developing AI solutions, documenting processes, and collaborating with clients for tailored AI architectures, with a focus on both structured and unstructured data processing.
As an Applied AI Scientist at ZS, you'll develop advanced algorithms, execute data mining techniques, evaluate datasets and technologies, and contribute to the firm's thought leadership in analytics and machine learning.
The Anti-Abuse Analyst will perform data analysis and reporting related to security and privacy on Snapchat. Responsibilities include identifying abuse trends, collaborating with cross-functional teams, and enhancing operational workflows to mitigate abuse risks. This role requires strong data analysis skills and effective communication to influence decisions based on user-impacting issues.
The Database Manager will oversee support, maintenance, and enhancements of CRM systems while ensuring effective data management and quality. Responsibilities include user administration, data integrity, tool integration, compliance procedures, training, and collaboration with stakeholders to improve processes and systems.
The Data Engineer II at Deako will participate in code reviews, build SQL queries for dashboards, maintain data infrastructure and pipelines, and work with stakeholders on data collection and cleaning. The role requires collaboration with data and software teams to enhance data practices.
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The role involves partnering with key stakeholders to enhance business performance through data analysis, reporting on A/B testing, and collaborating with product teams. Responsibilities include synthesizing data, establishing reporting, and innovating problem-solving approaches in a complex marketplace environment.
The Principal Engineer, Machine Learning / AI will drive technical capabilities in ML and AI across multiple teams, mentor data scientists, lead technical standards, and advocate for best practices. The role involves hands-on development of ML/AI products and collaboration across various business units to enhance systems and products.
Top Companies in Seattle, WA Hiring Data + Analytics Roles
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