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Deep expertise in one or more of the following areas: mathematical & statistical modelling, atomistic simulation, multiparameter optimisation, machine learning, computational biology, quantitative structure-activity relationships (QSAR) modelling.
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Experience in data science, statistics, optimization, machine learning, and/or deep learning. Bachelor's degree in computational and engineering sciences (e.g., computer science, computational biology, electrical engineering, biomedical engineering) or other related fields.
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Field experience in data science and building and evaluating large scale machine learning & deep learning models. 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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Bachelor's Degree or higher in one of the following fields: computer science, mathematics, physics, statistics, or another computational field with a strong background of using machine learning/data mining for predictive modeling or time series analysis.
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As an Embedded Engineering Technologist , on the CSG CTO Advanced Architectures team, you'll gain experience as an embedded software engineer and have the opportunity to gain strong data science skills to develop and deliver enterprise-grade Artificial Intelligence and Machine Learning solutions across the client devices portfolio.
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Ability to work in deep learning, computer vision, NLP, or chatbot development. Experience with artifi cia l intelligence, data science, ML engineering, data research, software engineering or data analytics.
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Our specialized HPC and digital technologies support our advanced and secure cloud-based workflows, expert geoscience data transformation and AI, machine learning and data science services.
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Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining and NLP.
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Master's Degree in a quantitative discipline such as Epidemiology, Biostatistics, Economics, Statistics, Clinical Informatics, Mathematics, Data Science, Data Analysis and/or related fields.
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Experience with causal inference and causal machine learning techniques, and/or advanced machine learning algorithms such as deep learning, NLP, recommender system, network analysis.
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Deep understanding of healthcare payer economics, and/or other specific healthcare areas such as EMR, Episode grouper, utilization management, value-based care, low value care etc. The Research Scientist 2 work assignments are varied and frequently require interpretation of data/information and independent judgement.
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Proficient in manipulating and analyzing data with at least one of the programming languages such as Python, R. The Clinical Strategy & Analytics team identifies opportunities and build solutions to improve clinical outcomes and lower costs for millions of Medicare Advantage beneficiaries through an evidence-based approach using data analytics, clinical expertise, strategic mindset, and rigorous study designs.
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PhD with 3+ years' experience in Statistics, Computer Science, Engineering, Mathematics, Physics, or related fields with a focus on Artificial Intelligence, Machine Learning, and/or Computer Vision research and development.
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If you're well-versed in machine learning, deep learning, NLP, LLM, ontology, standard terminologies, and knowledge graphs, we want to hear from you! The research program of Dr. Tao is seeking passionate individuals with a Ph. D. in Computer Science, Informatics, or a related field to join our dynamic team at the forefront of innovation.
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Common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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