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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. GliaCell is seeking a Data Scientist on one of our subcontracts.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python. statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Data mining, advanced statistical analysis (e.g., statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations, artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g., model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain area, and/or software engineering.
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As a Data Scientist on our team, you will: Be trusted to design and execute machine learning models and applications, document analytic results and create visualizations for client stakeholders.
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The ideal candidate will have expertise in Python, bash scripting, ELK, API calls, Ghostmachine, Splunk, Linux, and Nifi. As a Data Scientist, you must have a strong understanding of statistical modeling, machine learning, and data visualization techniques.
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Develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics.
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Experience: 5+ years of experience in data science, with a focus on machine learning, predictive modeling, and statistical analysis. Model Development: Develop advanced machine learning models and algorithms to address business challenges, such as customer segmentation, risk assessment, and fraud detection.
$160,000 - $190,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of statistical modeling, machine learning, and data visualization techniques. Develop statistical models and machine learning algorithms to analyze and predict trends in large datasets.
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We are currently looking to hire an experienced Senior Data Scientist to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics.
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Experience with artificial intelligence/machine learning including both software development (coding) and operating AI/ML systems and tools. Relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g., C.
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Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. Develop feature vectors for input into machine learning algorithms.
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machine learning jobs Title: scientist in Maryland
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