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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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Candidates should demonstrate an expert grasp of knowledge in one or more of the following areas: data science, machine learning, artificial intelligence, data structures and algorithms, software engineering, operating systems, computer networks, and databases, either through a record of teaching excellence, or through industrial experience.
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What you'll need to succeed Masters' degree in Computer Science, or equivalent experience. Expertise in SQL DB, No-SQL DB, Web Services, Data Intensive applications, Data Processing pipelines.
$234,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field from a Top-25 CS programProven experience as a Front-Office developer working on electronic trading platforms with specific exposure to SOR, DMA, Dark Pool Liquidity, and algorithmic execution.
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Communicate Wolters Kluwer competitive advantage to customers in a compelling articulate manner in speech, writing and formal presentationQualifications:Education:Required: Bachelor’s degree in computer science or related field.
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Basic Qualifications:Bachelor's Degree complete or in progress preferably in applied mathematics, statistics, computer science, data science, electrical engineering, physics, or closely related fieldA minimum of (6) six years of overall experienceFamiliar with JavaSrcriptExperience with JSON parsing and YAMLExperience interacting with RESTful APIsExperience with scripting languages like Python, Bash, and PowerShellExperience with TLS/SSL to secure data in transit.
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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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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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Bachelor's Degree or equivalent in Computer Science, MIS, Engineering or a directly related field. Overall knowledge of various aspects of data engineering (databases, cloud data, data migration, data modeling, data quality, data governance etc.
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Ph. D. Master’s degree preferred in engineering, economics, statistics, computer science, or related quantitative field 10+ years of backend software or data engineering experience with at least 4 years’ experience as lead data engineer of a development scrum team.
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Requirements: Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field and one (1) year of. utilize data-oriented programming languages and visualization software to explore, analyze, and interpret large volumes of data in various forms and solve complex business problems; visualize and interpret data and create reports, manipulate data using statistical software, and compare models using statistical performance metrics; and support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses.
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Master’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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Required Skills: A PhD or Master's in a technical discipline such as statistics, computer science, mathematics, physics, quantitative finance, operations research or similar. Software Guidance & Assistance, Inc., (SGA), is searching for a Quantitative Analyst for a CONTRACT assignment with one of our premier Financial Services clients in New York, NY. Responsibilities: The Market Quantitative Analysis (MQA) team is looking for a Quantitative analyst to support the front office In-Business Risk team, working along with the trading and XVA desks in managing their market risk metrics and capital.
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C, Java, Python, R, or Matlab, software applications in Linux, UNIX, Windows environments, data analysis algorithms, data management approaches, relational databases, or machine learning algorithms.
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Basic Qualifications: Bachelor’s Degree or military experience At least 3 years of product management experience or at least 3 years of experience in product design, agile delivery, business analysis, data science, or software engineering Preferred Qualifications: Bachelor’s Degree in Computer Science or Engineering MBA or Master’s degree 2+ years of experience in Agile product management At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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data science computer software jobs in Newark, NJ
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