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Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response.
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Artificial Intelligence, Augmented Intelligence, Machine Learning, Human Language Technologies, Speech Recognition, AI, Natural Language Processing, NLP, ML, Knowledge Management, Enterprise AI, KM, HLT, ASR, Machine Translation, Computer Vision, OCR, NER, and AI Assistant.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Experience analyzing and advising clients on US and international laws regarding content policies, youth safety, privacy and data protection, and/or trust & safety. - Partner with cross-functional stakeholders, including Product, Engineering, Privacy, Public Policy, Marketing, Comms, and Trust & Safety.
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We perform readiness and remediation reviews for regulatory data privacy requirements such as CCPA, CPRA, and GDPR. We review and guide companies in executing general data governance and data lifecycle management.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
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Pano brings together a diverse team bridging frontline, wildland firefighting experience with best-in-class know-how in operations, logistics, artificial intelligence, and software. Monitor and analyze product performance, using data-driven insights to inform continuous improvement and identify new opportunities.
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Facilitate cross-functional requirements gathering sessions with engineering, product management, analytics, and data science teams to understand and address data needs. Business Intelligence tools such as Tableau, Looker, Qlik, etc.
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Handle topics such as trust & safety, content policy, privacy, brand safety, and regulator engagement that arise out of the operation and growth of a global UGC service. Balance legal expertise and business considerations to assist product, operations, engineering, business development, and other teams to develop thoughtful strategies towards product development while mitigating legal risk.
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As a Senior BI Engineer at Cash App, you will work with Analysts, Data Scientists, Software Engineers and Product Managers to lay the foundation for analyzing our large, unique dataset. We are an extremely data-driven team - from understanding our customers, managing and operating our business, to informing product development.
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This involves working with the Privacy, Cybersecurity and Data Innovation and Artificial Intelligence Practice Groups, where you will work with the Practice Group Manager and global Co-Chairs to provide high-quality legal content and skills for our U.S. lawyers.
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Reporting to our VP of Business Operations and Analytics, you will leverage data to drive growth and retention for one of our emerging product groups (car maintenance marketplace or chatbot.
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You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics. Monitor, analyze, and report on key performance metrics using business intelligence tools such as Tableau, providing insights and recommendations for data-driven decision-making.
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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product management artificial intelligence data privacy jobs in San Francisco, Laveen, Arizona
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