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Le tue responsabilità: Acquisire dati da DataBase gestionali, ambienti social, Big Data, IoT. Preparare e analizzare i dati per scoprire correlazioni e pattern interpretativi, utilizzando anche algoritmi di Machine Learning Predisporre reportistica per la presentazione dei risultatiFa per te se:1.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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As a Data Engineer in GovTech’s Data Science & Artificial Intelligence Division, you will be involved in architecting, managing and running advanced analytics and data platforms.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter. Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks.
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
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BS, MS, or PhD degree in Computer Science, Data Science, Economics, Statistics, Computational Biology, BioInformatics, or equivalent experience. You have a strong background in data science, graph mining, and graph simulations.
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Data science, machine learning, optimization models, PhD 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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5 or more years of demonstrated Experience with HR People Analytics, Workforce Intelligence, or Learning and Talent analytics preferably in corporate HR setting (e.g., Organizational Effectiveness, HR Metrics/Analytics, Data Science, Talent Analytics, Market Research.
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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Promotes and integrates best practices in data science and adheres to established work standards.
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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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The Quantitative Science team at BioMarin promotes quantitative thinking and data-driven strategies for various aspects of the business, including research, early development, clinical trial monitoring, post-approval, and manufacturing.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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data science jobs Title: data engineer Company: Verizon Wireless
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