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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)Primary Location.
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We are looking for an experienced Data Analyst to join the Buyer Taxonomy and Site Navigation team to assess the opportunity and measure the impact of projects related to changing the browse navigation experience on eBay. Your focus will be supporting various product launches to measure the impact on customer behavior and SEO (search engine optimization.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We work mostly with Python/Django and iOS. We have no prerequisite on experience, and only require that you are a competent, creative hacker who can write simple, elegant code. Search Twitter for "math tutor" and you'll see just how many kids go without tutors because the simply can't find or afford them.
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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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The Marketing Decision Science team focuses on developing data-driven models and services to bringing high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omni-channel customers who view Wal-Mart as their top choice of retail shopping.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$108,000 - $220,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc. Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
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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.
$187,000 - $299,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Staying on top of emerging trends in generative AI and multi-modal LLM.Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. Strong problem-solving and communication skillsDescription: As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state-of-the-art research in ML to tackle sophisticated data problems.
$170,700 - $300,200 a yearExpandUpdated Today - UpvoteDownvoteShare Job
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Proficiency in working with data technologies including SQL, Python, Spark, Scala, Hadoop and related technologies and tools. The Sponsored Search Data team is responsible for designing, implementing, and maintaining data pipelines, databases and ETL processes for Walmart's Sponsored Search Advertising platform.
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Working knowledge in one of the following areas: machine learning, deep learning, backend, large-scale systems, data science, full-stack Experience with Big Data Frameworks, such as hadoop, spark, flink, etc.
$194,000 - $355,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
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In this role, you will leverage our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories.
$170,600 - $255,800 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day.
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Tools you may use include Azure services such as Azure Machine Learning and Azure prompt flow, as well as python, langchain, streamlit, docker, git, and elastic search. Experience with NLP, Large Language Models, LLM prompt engineering, vector databases, Retrieval Augmented Generation (RAG), and search engines.
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