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Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Experience with statistical process control and/or Machine Learning and/or AI. West Point Technical Operations is seeking a highly motivated Manufacturing Data Analyst to support data analytics-based projects across vaccine production areas at the West Point facility.
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West Point Technical Operations is seeking a highly motivated Manufacturing Data Analyst to support data analytics-based projects across vaccine production areas at the West Point. Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities.
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Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siris ability to understand and respond to requests.
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This role requires proficiency in search engines, natural language processing (NLP), machine learning and statistical techniques. Analyze data and documents from enterprise applications and other data sources to support knowledge management capabilities of search & discovery and information retrieval.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Drive the state of the art in scientific computing for life sciences as the Senior Machine Learning Engineer in the Bystro team. Our current expertise spans disease-associations, statistical genetics, genomics, and "big data" analysis, as well as software engineering and systems architecture.
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7 years of experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning and/or natural language processing. 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.
$231,000 - $339,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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7+ years of practical/applied experience with data mining, statistical modeling, and machine learning methodologies or equivalent. Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design.
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Ability to creatively solve business problems, innovating new approaches where requiredDemonstrated hands-on programming skills in Python, SQL, Hadoop, Hive. Additional knowledge of Spark, Scala desiredExceptional knowledge of mathematical and statistical modeling, sampling, bandits, and significance testingExperience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
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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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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 17 days ago - UpvoteDownvoteShare Job
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Experience with search engines, web scraping, data classification algorithms, recommendation systems, and relevance evaluation methodologies. Excellent understanding of Data Science Theory, LLMs, ML, NLP, and statistical methodologies in a data analytics environment.
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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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