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Must hold a bachelor’s degree from an accredited 4-year university or college with a discipline in Engineering (Mechanical, Electrical, Industrial, Data Science, Computer Science, Computer Engineer or similar.
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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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Education: High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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We are responsible for the end-to-end data science life cycle, right from ideation to developing Proof of concepts (PoC) and finally building and maintaining production data science and applications/products/featuresThis role is a unique opportunity to drive business value for multiple stakeholders and the ideal candidate must have deep design and hands-on development expertise in Statistics, ML, NLP, LLMs, model development and integrating ML solutions with business.
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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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MSc in Computer Science, Bioinformatics, or related field and 6+ years of demonstrated working experience as a data engineer or, alternatively, a PhD in a relevant area plus 3+ years of experience.
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Bachelor’s Degree in Computer Engineering, Computer Science, Information Technology or related field and a minimum of 4 years of prior related experience; or 4 years post-Secondary/ Associates Degree and a minimum of 8 years of prior related experience.
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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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Technical knowledge of traditional and IP products as well as services include telephone systems (Avaya, Cisco), voice mail systems (Unity), AVAYA call routing systems, and data communications hardware.
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Preferred Skills:- Knowledge of Microsoft Office Suite including Outlook, Word, Excel, PowerPoint and SharePoint- Ability to train on database systems such as the Agency’s Laboratory Information Management System (LIMS) and Water Information Systems by Kisters (WISKI) data management systems- A general knowledge of field sampling equipment and standard water quality sensors.
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Machine Learning | Physics | Embedded Systems | Signal Processing | Data Analysis | Nvidia | Electrical Engineering | Cloud Computing | Cuda | TensorRT | Radio Frequency | Transmission Processing | Linux OS | Pytorch | Python | Causal Inference.
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Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, Engineering, or a related fieldAt least 3 years of experience as a Data Scientist, with a focus on developing and deploying machine learning models in production environmentsStrong programming skills in at least one language (Python, SQL, Spark, C.
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Bachelor’s Degree- civil engineering, construction management, construction technology, engineering, computer science, or equivalent; Master’s degree preferred. Expertise in construction management software and platforms, including Viewpoint Trimble One, Spectrum, Plangrid, HCSS platform, Toric data warehouse or equivalent, Power BI, Power Automate, Office 365 Suite, Sharepoint, Tableau, and dashboard tools.
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You will help us think of innovative ways to improve our data systems to help the business make decisions and make it even more enjoyable and valuable to shop with us. 6+ years of experience in data engineering working with big data systems that can process and transform data at scale.
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Bachelor’s Degree in relevant discipline (e.g., Information Technology, Computer Science, Mathematics, Statistics, Analytics, or other related field). Reporting to the Director, Sr. Manager, Analytics, in the Compliance Department, Americas Division, the Senior Data Analyst executes large-scale projects in the Sanctions Compliance area.
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data science computer systems jobs Title: business analyst in Secaucus, NJ
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