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Data science, machine learning, optimization models, Master’s degree 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)Primary Location.
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Minimum RequirementsCompetencies and Knowledge:For all levelsExperience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc.
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The student will implement Python and other programming languages (e.g., MATLAB, R) to prepare and analyze data generated from several characterization techniques, such as differential scanning calorimetry (DSC), thermomechanical analysis (TMA), dynamic mechanical analysis (DMA), and mechanical testing.
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The selected candidate will collaborate with Dr. Modave and Dr. Tootooni, faculty members of the Department of Health Informatics and Data Science and CHOIR to form research questions, help writing grant proposals, and publish in top-tier clinical/informatics journals.
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Master's degree in a relevant field such as management information systems, data analytics, computer science, social science, education, statistics, data science, etc.
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Bachelor of Science in Electrical Engineering, Computer Engineering, Computer Science, or related degree KEYWORDS: avionics, flight control, powertrain management, battery management, software, software engineer, senior software engineer, embedded software engineer, senior embedded software engineer, programming, software design and development, C, C.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Hands-on experience with SQL, R, and PythonExperience with Hadoop, Spark, and AWS computing preferred Responsibilities Marketing Science Internship You will learn how to work with production code bases and translate data into visualization models that will be used on actual client projects.
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The ideal candidate must demonstrate the following qualifications: Proficiency in statistics, advanced data science methods and application, and programming. The Associate Director of Quantitative Science is a self-sufficient and high-impact position that focuses on supporting the statistical and data science needs in the risk-based monitoring (RBM) of clinical trials, serving in roles such as CSM lead (CSM: Centralized Statistical Monitoring), while also support other activities such as preclinical studies, biomarkers, application of AI/ML and development of analysis applications.
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Requires a Master’s degree in Computer Science, Mathematics, Statistics, Engineering or related field, plus two (2) years of data science or related experience in data analysis including experience deploying ML (machine learning) models in different deployment architectures, databases, streaming and messaging queues; designing data labeling workflows with cloud-based tools in AWS or GCP; optimizing model performance; and conducting error analysis on baseline ML models.
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Qualifications: Bachelor’s or Master’s Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Minimum of a Master's degree in applied mathematics, statistics, informatics, or computer science and at least 3 years of experience or an equivalent combination of education and experience required demonstrating expert knowledge or database and statistical programming required.
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The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$205,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the clients facility.
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