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Very good understanding of ecommerce data and analytics, personalization, content management, machine learning, payment platforms, supply chain and fulfillment automation, search engine optimization integration, omni-channel ecommerce technologies.
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PhD or advanced degree in computer science, machine learning, cognitive science, psychology, economics, or similar (preferred). Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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PSC advances science across a wide spectrum of fields including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Architect and design of core platform services that can be used across eCommerce solutions (Cloud, APIs, micro-services, omni-channel, etc.) 10+ years experience with all aspects of IT projects from business analysis, architectures, system analysis, and design through development, testing, implementation, and production support (SDLC.
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Learn more about our commitment to Diversity, Equity and Inclusion at Shutterfly DE&I. Architecture frameworks and development methodologies (Agile, Scrum, etc.) Has a holistic understanding of the Shutterfly ecommerce technology landscape.
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Provides guidance to initiative-delivery stakeholders, including technology planning, decision-making and reconciliation with business strategy. As a recognized authority of large scale platforms, the Platform Core Services Architect strategically advises on and drives the re-platformingstrategy that underpins all business solutions, works with peer architects to create the architecture for this platform, and leads the realization of the architecture roadmap into the target state.
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Is involved with strategic planning as necessary for Shutterfly ecommerce. Hands on development skills in various languages such as Java, NodeJs, Python etc. Curates architectural artifacts associated with ecommerce initiative delivery.
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Reporting to the Head of Architecture, the SeniorPrincipal Architect plays an integral role in supporting the effort to build the company's multi-year eCommerce technology strategy, roadmap, and processes.
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Deep subject matter knowledge of eCommerce, and technical prowess of cloud architecture is essential. Understands the business capabilities that comprise the Shutterfly ecommerce domain. Must be comfortable communicating with a wide array of stakeholder groups, skills as a mentor/educator.
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To apply strong expertise in artificial intelligence through the use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services.
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Proficient in using Jupyter Notebooks for all sorts of data science tasks such as exploratory data analysis (EDA), data cleaning and transformation, data visualization, statistical modeling, machine learning, and deep learning.
$96,800 - $251,600 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Has broad-based background in the online ecommerce technical domain. Understands ecommerce technologies across various brands and business units in the enterprise. 10+ years excellent design and architecture skills and proven track record delivering well-designed complex enterprise-class systems.
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Very good understanding of various Architecture and Design Patterns such as Domain Driven, MACH, SOLID etc. Understands the relationships between ecommerce technologies and dependent technologies in the broader enterprise.
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Use data science methods, including but not limited to Artificial Intelligence/Machine Learning (AI/ML) approaches, to perform data processing (e.g. filtering), feature recognition, alarm threshold determination, pattern matching, statistical trending, scoring of detection quality, and integration of other information into decision making.
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