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Develop and implement a comprehensive digital marketing strategy including account-based marketing, email marketing, lead nurturing, retargeting, display advertising, paid search, SEO, and SEM to create and advance pipeline.
$200,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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As Senior User Experience Researcher , you will partner with International Product Strategy , Data Science, UX and various Product teams to push the spectrum of thinking and amplify user outcomes.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Brands like Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks’ proprietary enterprise data, out-of-the-box solutions, and intuitive developer tools to bring conversational automation to all aspects of their business.
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
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We’re looking for a strong intellectual property attorney with extensive scientific knowledge of our research areas who can build and lead the legal strategy for protecting and deploying our intellectual property.
$262,000 - $316,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in strategy consulting, investment banking, BizOps, or business/corporate strategy development at a large corporation is a plus. 5 – 7 years of strategy consulting, investment banking, or BizOps experience (at an early-stage start-up) focused in automotive, technology (SW & HW-driven), mobility, transportation, and/or logistics industry sectors.
$145,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Work closely and transparently with cross-functional teams, including Design, Engineering, Logistics, Customer Experience, Marketing, Data Science and Sales to ensure seamless execution of your product strategy.
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Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM. - Optimize various basic algorithms such as NLP, vision, multimodal, search, graph, LLM, etc.
$136,800 - $359,720 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Data is at the heart of our business and strategy. Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results.
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Work from office 3 days in hybrid model) Key words to search in resume Java, Spring boot, Microservices, Javascript, VueJS, Kafka, MongoDB, AWS, Cloud Native, EKS Prescreening/Sample Questionnaire with answers.
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Working knowledge of data mining tools to search, sort, and organize large amounts of electronic information. Proficient with device collections, including experience with Cellebrite Digital Collector and Physical Analyzer in imaging and extracting data, Paladin (laptops/desktops), EnCase/FTK and other forensic collection technology tools (certification a plus.
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Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Must have expertise in NX/other CAD data migration from legacy system/s to Teamcenter PLM. Several full CAD data migrations experience with Teamcenter or other CAD and PLM systems would be considered.
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You will have significant influence on our overall strategy by helping define these product features, drive the data architecture, and spearhead the best practices that enable a quality product.
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Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake) Improve the data quality and transparency of the pipelines (defining data requirements and data flow visibility - lineage, sources, transformations.
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