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Our team develops, implements, and maintains recommendation and personalization algorithms for Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. As a member of this team you will collaborate across Engineering, Product, and Data teams to apply machine learning methods to meet strategic product personalization goals, explore innovative, cutting edge techniques that can be applied to recommendations, and constantly seek ways to optimize operational processes.
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Work in collaborative team environment including Product, Design, Engineering and Research to shape how we bring together Cash App and Square. You’ll work closely with product management as well as other cross-functional partners around our new Local initiative which aims to bring together the Cash App and Square ecosystems to engage customers in their local communities.
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Over 15 years of experience in Data and Data Engineering supporting multiple business teams, with at least 8 years in team management, data architecture, Ingestion frameworks, governance, and quality.
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Develop computational routines and custom visualizations that enable project teams to impact protein engineering designs and allow teams to rapidly make program decisions from real-time data.
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Must have CA CEG registration or be able to sit and get licensed for within 6 months REQUIRED.Minimum 4-8 years of relevant site investigation, geotechnical analysis, and geotechnical engineering geology construction support experience, including professional services consulting experience in the Bay Area. Minimum 1 – 2 years of cradle to grave Project Management.
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The ideal candidate is expected to have a deep domain experience in developing and supporting financial research analytics platforms at scale, experience supporting highly technical business teams, strong cloud architecture and application development experience with a history of advancing data engineering capabilities.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Partner with a wide range of cross-functional partners across engineering, data science, research, and product to design infrastructure to train, deploy, and serve AI/ML models at scale.
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5+ years of data engineering experience in product/support analytics and business operations. Ensure Operational Excellence: Define and implement operational excellence processes for Business Intelligence Engineering, including project management and system reliability.
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The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Work with engineering, product teams and 3rd parties to collect required data.
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Strategic Partnership: Collaborate with multiple internal teams, including Product, Legal, Compliance, Data Science, and Customer Operations, to identify and implement data-driven solutions.
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Lead technology transfer efforts to implement new processes and technologies in collaboration with Analytical Development, MSAT, Quality, Manufacturing, Alliance Management and Engineering.
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Educational Background: Ideally a PhD in Epidemiology, Biomedical Engineering, Wound Healing and Tissue Repair, Dermatology, Regenerative Medicine, Biotechnology, Clinical Research, Molecular Biology, or a related field that involves the scientific study of the human body.
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Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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data engineering product management jobs Company: Livesuper in San Francisco, CA
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