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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. Experience using statistical computer languages (Python, SQL, Scikit-Learn, and well-known machine learning frameworks and techniques) to manipulate data and draw insights from large data sets, and using web services: AWS Redshift, S3, etc.
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At least 2 from the following: Statistics and Probability Theory, Regression Modelling, Clustering Methods, Deep Learning, Neural Networks, Natural Language Processing, Text Mining, Computer Vision, Image Recognition, Time Series Forecasting, Machine Learning Visualization Tools, Tree Ensembles.
$73,000 - $220,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Applications, Computer Engineering, Computer Engineering & Accounting, Data Processing/Analytics/Science, Economics, Electrical Engineering, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Qualifications You Must Have Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of Signal Processing experience.
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You also have opportunities to research and develop applications in applied artificial intelligence using computer vision, natural language processing (NLP) and large language models (LLM.
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Education: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or related field, with 5-7 years experience in a data science or similar role. As Lead Data Scientist, you will be responsible for driving the design, development, implementation, and enhancement of advanced data science initiatives, aligning directly with strategic objectives.
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Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Bachelor's degree in Accounting, Finance, Mathematics or Computer Science. Basic or proficient coding skills in VBA / Python / Other similar computer languages (preferred not required.
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Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field. Experience working with big data (engineering / processing) and data migration.
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Understanding of modern processing and discovery principles (e.g., casting, additive manufacturing, coating, evaporation, plasma and radiation processing, artificial intelligence, computer simulations.
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Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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Bachelors' degree in a Technology related discipline such as Computer Science, Software Engineering, Digital Forensics, or Math required. Solid experience in using Relativity is required with processing, relativity analytics, eDiscovery review workflows and productions.
$110,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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computer science processing jobs in Houston, Beltsville, District Of Columbia
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