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Experience with digital data from ad serving platforms (e.g. Google Campaign Manager, Other adservers), campaign planning tools (e.g. Prisma, Lumina, MediaOcean), website analytics software (e.g. Adobe Analytics, Google Analytics), paid search engine marketing data sources (e.g. Adwords, Marin, ) and others is strongly preferred.
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Experience using paid marketing tools (e.g. Google Ads), marketing analytics and tracking tools (e.g. Google Analytics, Google Tag Manager), search and SEO tools (e.g. GSC, SEMRush, Ahrefs), data visualization tools (e.g. Looker/Tableau) as well as experience with Excel/GSheets and SQL.
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Experience working in Google Data Studio, Adobe T&T, Adobe Analytics, Google 360, Google Search Console, BrightEdge, SEM Rush, SEM Ranking. Extracts insight from campaign data, identifies relevant trends and provides well-developed proactive recommendations to enhance and exceed overall client search marketing goals and objectives.
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Search internal systems on a wide range of data including but not limited to: trim, hash, edibles, topicals, packages, labor statistics, testing results, etc. The CO Processing Analytics Supervisor will be responsible for ensuring that the CO MIPS Analytics team has correctly entered data across all data systems (Google sheets, Smartsheets, METRC, Counterpoint & NAV.
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Search Tags: Pricing Specialist, Pricing Analyst, Data Analysis, Pricing Strategies, Negotiations, Statistical Methods, Forecasting, Sales administration, financial analyst, Business Planning, Sales, Sales, Regional Sales, Business Development, Catalog Sales, Forecasting, Sales Forecast, Sales Analysis, Accounting, Finance, Ball State, Depauw university, Purdue University, Butler University, Indiana University, accountant, Financial accountant, customer service.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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To make this vast amount of information more accessible, we have built a variety of tools including a search engine, a machine-learning-driven search intent classifier, an LLM-driven question -answering system and an ontology/ taxonomy all supported by reference data about companies, industries, and our analysts.
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You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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Understand & perform SAP CRM & hybris configuration including Customer/User master data, Catalog Management, Content Management, Workflows, Promotions/Vouchers, Shopping Cart & checkout, Search and guided navigation, Returns Management, Payments, Customer specific Pricing, Sync & Async Order Mgmt with SAP etc.
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We are seeking candidates interested in research and development of advanced technologies in Data-centric AI, including capture, management, search, enhancement and interpretation of meta-data and lineage for hybrid AI and HPC (high performance computing) pipelines that enable reproducibility and reuse of pipelines, discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI and HPC-AI applications, specifically in AI for Science workflows.
$113,000 - $259,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Artificial Intelligence Technologies, Cross Domain Knowledge, Data Engineering, Data Science, Design Thinking, Development Fundamentals, Full Stack Development, IT Performance, Machine Learning Operations, Scalability Testing, Security-First Mindset.
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Proficiency in using industry tools, databases, and software applications for data analysis, validation, and remediation (e.g., Bloomberg, Refinitiv, LEI Search) Provide support and guidance to internal teams on LEI remediation processes, regulatory requirements, and data management practices.
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We are particularly interested in individuals with a background in computer systems, big data pipelines, data management, machine learning, deep learning, statistics, HPC simulation and modeling environments with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in innovative research.
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Hands-on experience with data analytics and classical machine learning tools(like pandas, NumPy, scikit-learn)and deep learning frameworks(like Tensorflow, Lang Chain, Pytorch, Flask, Fast API.
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We are looking for an Omnichannel Data Scientist 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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PhD in Computer Science or related fields with a focus on data management, big data, or Machine Learning with AI for science focus strongly preferred. Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm.
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