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Top Data Management Jobs in Seattle, WA
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Senior Machine Learning Engineering Manager will oversee the end-to-end machine learning lifecycle, manage core service development, mentor team members, and collaborate with product managers and various teams to enhance AI/ML modeling solutions for business applications.
Top Skills:
Python
AdTech • Big Data • Digital Media • Software
As a Manager of Data Engineering, you will lead a team focused on productionizing machine learning algorithms, manage large datasets, and collaborate with data scientists to enhance revenue-critical applications. Your responsibilities include A/B testing models, risk management, and enabling reporting for revenue increase.
Top Skills:
PythonScala
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The Google Cloud Data Engineer at PwC will design and implement data architecture, develop data pipelines, and lead projects utilizing Google Cloud services. The role involves mentoring and coaching team members while ensuring data governance and compliance, and managing client relationships effectively.
Top Skills:
DatabricksGoogle Cloud PlatformHadoopKafkaQuickbaseSnowflakeSparkSQLTerraform
Featured Jobs
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Associate Director of Biostatistics will design and analyze clinical trials, ensuring compliance with regulatory requirements and internal standards. Responsibilities include providing statistical expertise, overseeing project deliverables, collaborating with cross-functional teams, and maintaining a strong statistics community within Pfizer, especially in oncology-related studies.
Top Skills:
Biostatistics
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead the development of innovative ML-based enterprise products and architect AI-enabled data products. Manage a hybrid team while overseeing complex cross-functional problems and engaging with senior client leaders. Focus on applying advanced algorithms for business solutions and fostering talent within the organization.
Top Skills:
Python
Artificial Intelligence • Information Technology • Natural Language Processing • Software • Business Intelligence • Generative AI
The Investor Relations Analyst at Qualtrics will develop strategies to communicate financial performance and capital structures to investors. Responsibilities include creating financial models, preparing presentations, analyzing market trends, and collaborating with internal teams to ensure effective investor communications. This role supports the financial strategy and treasury activities of the company.
Top Skills:
Financial AnalysisFinancial ModelingInvestor RelationsTreasury Management
AdTech • Digital Media • News + Entertainment
The Director of Machine Learning Engineering leads a team of ML Managers and Engineers, collaborates with Data Scientists, oversees the development of AI/ML models, manages vendor relationships, and ensures alignment with business objectives. This role requires strong leadership, communication skills, and expertise in software engineering and machine learning.
Top Skills:
C++GoJavaPythonRuby
Fintech • Healthtech • Software
The Data Science Sr. Manager will lead a team of data scientists focused on creating AI-powered healthcare solutions. Responsibilities include developing AI features, mentoring team members, collaborating with stakeholders, and contributing thought leadership in AI and healthcare.
Top Skills:
Python
Consumer Web • eCommerce • Enterprise Web • Events • Sports
The Manager of Fraud Analytics will lead efforts in monitoring and mitigating fraud losses, analyzing data to propose strategic improvements, and managing a team of analysts. Responsibilities include developing fraud strategies, collaborating with cross-functional teams, and overseeing vendor performance.
Top Skills:
PythonRSASSQL
eCommerce • Fashion • Retail
The Director of Consumer Insights & Data Analytics will optimize customer behaviors and improve the purchase journey using data insights. Responsibilities include leading research, analyzing user behavior, driving marketing activities, and developing tools for measuring brand strength and customer segmentation.
Top Skills:
CSSHTMLJavaScript
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