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Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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15+ years of experience with security terms and conditions, market data, security valuation modeling, performance attribution, portfolio optimization, or fund accounting and administration.
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JD degree and admission to the USPTO.Preferred Experience:Patent prosecution in electrical engineering or software-related technologies. The candidate must hold a degree in electrical engineering or computer science, with a JD degree and admission to the USPTO being mandatory.
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Degree in electrical engineering or computer science. Knowledge of data science, AI, networking technologies (especially network security), and machine learning/artificial intelligence.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Bachelors degree in civil engineering with a structural engineering focus. Masters degree in Civil Engineering (Structural). As a member of our growing practice, you will be asked to apply your knowledge of structural engineering to series of technically diverse and unique construction projects involving; dams and containment structures, heavy-civil construction, erection and controlled demolition engineering, earth retaining structures, complex foundations, and unconventional structures.
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The individual should hold a degree in electrical engineering or computer science, with a preference for experience in patent prosecution related to electrical engineering, software technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Craft and maintain data infrastructure with the Data Engineering team by translating business requirements from business partners to data models that will enable reporting, dashboards, and segmentation; responsible for data integrity.
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Preference will be given to candidates with experience in patent prosecution related to electrical engineering, software-related technologies, data science/AI, networking technologies (especially network security), machine learning/artificial intelligence, and hardware security.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Bachelors degree in Exercise Physiology or Exercise Science. Masters degree in Exercise Physiology or Exercise Science preferred. Conducts stress testing (as needed) and interprets EMG results from stress testing or during exercise; Accurately interprets clinical data and seeks medical evaluation of such data.
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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc. Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus.
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Bachelor’s degree in Biomedical Engineering, Bioengineering or related physical or life science. 8+ years relevant experience and a BS degree, or 6+ years relevant experience and a MS degree, or equivalent years of education and experience in Engineering and Sciences.
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data engineering market bachelors degree jobs Company: Goldman Sachs
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