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This role will involve working with hardware and software to integrate data from cameras, radar, IMU, and AIS and develop software to process that data to detect and localize objects around a USV. As such, the Perception Software Engineer will have strong training in math in addition to software engineering fundamentals, and prior experience interfacing software with sensor hardware.
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Required Clearance: Public TrustRequired Qualifications: Bachelor s degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, Math, or Systems Engineering; or equivalent experience.
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Knowledge/Experience: Master's degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 5+ years of experience or Bachelor's degree and 7+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Degree must be in computer science or a related field, engineering electrical engineering, systems engineering, mathematics, computer forensics, cyber security, information technology, information assurance, and information security.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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College degree in agriculture, civil or environmental management/engineering; geology, geography, soil science, natural resource management or a related field is required. Communicate and interpret information from regulatory reports and technical data with Regional President, Regional Vice-President and Division Presidents.
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Monitors mission health of systems deployed and provides daily reporting to the FOC Lead. Responsible for gathering Level 1 PBLM using mission data, electronic health and status reporting, and details from fielded calls from Operational sites to complete CDRL A009 in their hub and spokes of assigned responsibility and supporting FOC leads consolidation of daily reports.
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TPS provides equipment to a broad range of customers in different industries, such as, defense, aerospace, electronics, biotech, medical, pharmaceutical, lab animal science, energy, transportation, communications, commercial heat treating, die casting, agriculture, and materials processing.
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Keywords: data mining, statistical analysis, Gaussian, Markov Models, Hierarchical Clustering, K-Means, Linear Regression, Logistic Regression, Monte Carlo Simulation, Neural Networks, deep learning, AI, algorithms, general linear model, GLM, random forest, gradient boosted models, neural networks, optimization, data visualization, Google Cloud Platform, GCP, GenAI, Generative AI, large language models.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As a Senior Associate in our Risk Analytics and Modeling team, you'll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Whether your current position or job skill is a data entry clerk, administrative assistant, receptionist, warehouse or factory worker, driver, medical assistant, nurse or health care worker, call center or customer service representative or anyone who is looking for a part-time, remote, work from home job, this is an excellent position to supplement your income with great flexibility and zero prior experience needed.
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10+ years of hands-on working experience in Data Science capacity, three years working with people data – CRM, identity graphs, ad-tech/mar-tech log-level data, respondent-level panels, etc.
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Masters or PhD in physics, applied mathematics, data science, or engineering with relevant project experience. Bachelor of Science degree in physics, applied mathematics, data science, engineering, or related field.
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Candidates should demonstrate experience and capability in one or more of the following areas: analysis and modeling of ballistic missile, cruise missile, and/or hypersonic systems including flight dynamics, vehicle performance characterization, propulsion system design, supersonic/hypersonic aerodynamics prediction, guidance, navigation, control, and flight test data analysis.
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data science engineering jobs Company: Leidos Inc in Columbia, Bentonville, Kansas
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