Top Senior Level Data & Analytics Jobs in Seattle, WA
As a Data Engineer Manager at PwC, you will lead the design and development of data infrastructure, manage projects to ensure their successful execution, mentor team members, and drive the adoption of innovative technologies. You will work closely with business stakeholders to translate requirements into effective data solutions, focusing on data architecture and governance.
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.
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 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.
The Director of Data Science at Snap Inc will lead a team focused on improving customer engagement and ad performance through advanced data analysis, machine learning, and strategic insights. The role involves partnering with senior executives to solve complex business questions, manage projects, and deliver actionable recommendations.
The role involves managing data center vendor relationships, overseeing deals from planning to execution, and collaborating with various teams to ensure effective sourcing and budget management for Cloudflare's infrastructure growth.
Collaborate on product and business problems, apply technical expertise with quantitative analysis, develop strategies, define hypotheses, test opportunities, and shape product development using data.
The Lead Machine Learning Engineer will develop, implement, and optimize recommendation algorithms for Disney's media platforms. This role involves collaborating with engineering and product teams to achieve personalization goals, maintain ETL pipelines, and ensure best practices in algorithm development. The engineer will also drive the roadmap for algorithmic projects to enhance content recommendations.
As a Senior Data Analyst, you will consult with sales and leadership teams to provide analytical support, solve complex problems, and generate strategic insights to enhance revenue and improve the sales ecosystem. You will work on retention analytics, product adoption, and data quality while collaborating with various stakeholders.
As a Staff Machine Learning Engineer, you will design, build, and productionize machine learning models to tackle various business challenges. Collaborating with product and engineering teams, you will focus on data processing, improving service performance, and sharing knowledge through discussions and presentations.
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