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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Academic training in a quantitative field such as Computer Science, Data Science, Mathematics, Statistics, Bioscience, or Engineering. Experience using the Python data science/ML stack in a collaborative development environment using version control tools (git.
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Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Expert ability in operations research and statistical methods and techniques, including deployment analysis and resource allocation modeling, systems/operations analysis, simulation and optimization (linear and nonlinear, predictive analytics (e.g. deep learning, econometrics, time series/forecasting, vehicle routing, and related skills.
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Work as a Teaching Assistant (TA) for the Forensic Science Initiative (FSI) - a 15-week offering organized by the Center for Pre-College Programs and the Forensic Science Program within the Department of Chemistry & Environmental Science at NJIT. The FSI program uses Forensic Science to strengthen underserved public high school students' STEM knowledge, skills, and preparation for college work.
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Successful candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics/Biostatistics, Bioinformatics, or related field.
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MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience.
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Bachelor's degree in Computer Science, Engineering, or a related field. Role:Design, develop, and maintain high-performance, scalable, and secure Java applications Implement distributed processing solutions using multi-threading and multi-processing orchestration Develop cloud-based applications on Azure, with experience in OpenShift being desirable Write efficient SQL queries, stored procedures, and create views for relational databases Analyze data and perform data transformations using tools like SSIS Script automation tasks using Python.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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The position will involve computer modeling for vibration and acoustics analyses, which could include finite element analysis (FEA) of structural systems, building acoustics modeling and ray tracing, and/or environmental noise modeling.
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Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area; PhD degree preferred. The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch.
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Experience w/ predictive maintenance technologies including, but not limited to, vibration analysis, oil analysis, infrared Thermography, ultrasound, and motor current analysis. Plans and performs engineering operations, monitors operations center systems, RCM program implementation, process engineering assignments, root cause failure analysis, incorporation of condition-based maintenance (CbM and predictive testing and inspection (PT&I) technologies and conducts equipment condition assessments.
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predictive modeling computer science jobs Title: data scientist senior Company: Ppl Corporation in New York, NY
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