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Experience with big data technologies like Apache Spark, Lucene, OpenSearch, Spark Steaming, Flink, Delta Lake, Parquet. Strong Knowledge of Apache Spark, Spark Streaming, Flink, Delta Lake, Parquet.
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Self-driven, challenge-loving, detail oriented, teamwork spirit, excellent communication skills, ability to multitask and manage expectationsNice to have:Experience in any of: machine learning, analytics, data mining, or data mart and warehouseExperience with Deep Learning platforms (Tensorflow/Keras/Spark MLlib) and SQL/Unix/ShellExperience with machine learning algorithms, NLP, and/or statistical methods a big plusYahoo is proud to be an equal opportunity workplace.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Apache Spark / AWS Elastic Map Reduce (EMR), Python, Pandas. Design, develop and productionize data engineering pipelines on a massively parallel processing (MPP) and cloud-based tech stack, utilizing solution aspects from hybrid-clouds like Microsoft Azure, Amazon Web Services (AWS), data lakes and multiple data warehouses.
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Work From Home, Entry Level Data Entry Clerk As A Research Participant. Data entry skills. This is a remote work from home part time gig, you'll need a computer, laptop or mobile device.
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It all started with one big dream, two crazy cousins, and the perfect combination of flour, sugar, and chocolate chips. The very first Crumbl opened in Logan, UT while Sawyer, Crumbl's COO and Co-founder, attended Utah State University (go Aggies.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Proficiency in Python and familiarity with AI and machine learning libraries like TensorFlow, PyTorch, OpenCV. Strong background in machine learning principles and AI algorithms.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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We provide a comprehensive offering of ERP, Cloud, Big Data, Mobility and IoT solutions and services, a proven methodology for accelerated delivery, deep industry expertise, and flexible onsite/offshore, on-premise or on-demand delivery models that accommodate the reality of business today.
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Deploying machine learning algorithms, working with data developers and solution architects to establish the entire project life cycle in an Azure cloud environment. 6 years An equivalent of six or more years of experience applying advanced statistical concepts, machine learning techniques, forecasting and other methods to solve complex problems using structured and unstructured data.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Influences, enables, and drives adoption and preference for Intel based solutions for private, public, and/or hybrid cloud infrastructure and cloud/data services.
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These programs provide a complete range of technology services, which include strategic planning, new service design, business analysis, project management, security risk management, data security, applications delivery and support networks, servers and storage, desktop and mobile management, database administration, and end-user support through the service desk.
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