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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets.
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Deep knowledge of open-source data science and statistics packages such as Python, R, Spark, etc. Lead the team in leveraging machine learning and Artificial Intelligence technologies to drive real time customer centric decision making.
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Experience in programming - SQL, Python, deep learning, Pytorch, Tensorflow. Automated deployment of trained machine learning models on cloud platforms. Master's Degree or Ph. D. in Computer Science, Linguistics or Cognitive Science.
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Design and develop models, utilizing machine learning and other algorithms. Leverage extensive, deep technical knowledge and leadership skills to drive the development of data-science solutions, and implement data-driven recommendations and outcomes.
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Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics, and machine learning algorithm & recommendation to solve business problems.
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Stay abreast with emerging technology, industry and market trends (e.g., AI, Machine Learning (ML), deep learning, IoT, blockchain, DaaS, PaaS,etc.) Required Skills:o Deep experience with on-prem, Cloud platforms and hybrid solutions, along cloud frameworks offered from AWS, Azure, Openstack, VMWare, Pivotal Cloud Foundry.
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Strong knowledge of HR technology, including Workday, Salesforce, ServiceNow, machine learning, deep learning, natural language processing, computer vision, and related frameworks (e.g., TensorFlow, PyTorch, Scikit-learn.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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The successful candidate will possess a deep understanding of HR and AI technologies, excellent leadership qualities, and a proven track record of successfully implementing HR technology and AI solutions.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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A background in computer vision and machine/deep learning will also be extremely beneficial. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio.
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Under the supervision and guidance of school leadership and the Teaching and Learning Department, the Literacy Content Specialist is responsible for building the capacity of district staff in the area of literacy content & overall instructional practice.
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Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras. Machine Learning and Deep Learning : Apply machine learning and deep learning techniques for diverse healthcare applications.
$112,000 - $154,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
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