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Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects. Develop and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights.
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Previous experience as a machine learning scientist, machine learning engineer, software developer, or product manager is a big plus. Experience in building Artificial Intelligence / Machine Learning platforms and other complex engineering ecosystems.
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Proven experience as a Machine Learning Engineer or similar role. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) BSc in Computer Science, Mathematics or similar field; Master's degree is a plus.
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Proven experience in data science, machine learning, and statistical analysis. This role will involve developing, implementing, and managing advanced analytics and machine learning models to extract insights and create predictive solutions.
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The Manager, Data Science is responsible for applying a robust understanding of statistics, machine learning, probabilistic thinking, and economic theory within a business setting to discover the underlying business demand drivers and transform data into actionable insights that generate incremental EBITDA and improve the company s operations.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A demonstrable understanding of Data Science, Artificial Intelligence, and Machine Learning concepts. Master s/bachelor s degree in computer science, business analytics, information technology, statistics, or a related field.
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Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning. Dice is the leading career destination for tech experts at every stage of their careers.
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By interpreting information from multiple sources using a variety of techniques, ranging from simple data aggregation to statistical and machine learning analysis and complex data mining, you'll identify and quantify business trends, problems, and opportunities and produce predictive and prescriptive reports and solutions that advise and inform executives, managers, and other decision makers.
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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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Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Our diverse workforce includes skilled tradespeople; artificial intelligence, machine learning (AI/ML) experts; engineers; technologists; scientists; logistics experts; and business administration professionals.
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Developing machine learning, data mining, statistical network, natural language processing, text analytics, and graph-based algorithms to analyze massive data sets. Developing and implementing statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics as well as to develop statistical tests to make data-driven recommendations and decisions.
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CFD Research is looking for an engineer that will join a multidisciplinary R&D team focused on the development of machine learning algorithms with applications including, but not limited to, materials science, analytical chemistry, and microelectronics.
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CFD Research's Aerospace Data Science Group is developing a portfolio of traditional modeling and simulation and, machine learning tools for supporting aerospace R&D. This includes development of predictive machine learning and reduced-order models for (1) rapid estimation of aerospace vehicle properties; (2) optimal data collection; (3) affordable uncertainty quantification; (4) guidance navigation and control strategy development, and (5) multi-disciplinary design optimization.
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0-2 years of experience with Bachelor's degree preferably in IT, Cyber Security, Computer Science, Information Systems Management, Engineering, or, similar field of study or High School Diploma or equivalent with 4 years of relevant experience.
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The ideal candidate will have a strong background in data science, machine learning, and artificial intelligence, with a proven track record of applying these skills in cleared spaces.
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machine learning science jobs Company: Dice in CO, Missouri
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