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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Earned an advanced degree in Computer Science, Linguistics, Engineering, or another relevant field with an emphasis on NLP and LLM. Looking for visionary NLP and LLM focused scientists to harness the power of language to decode complex financial problems and manage vast volumes of textual data.
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This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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Headquartered in a brand new, 65,000 square foot, state-of-the-art academic building, our department is home to innovative research labs on AI, machine learning, computer vision, big data analytics, programming languages, cryptography, computer security, and software systems.
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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.
$46.62 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Must have a Bachelor’s degree in Computer Science, Information Systems, Business, Accounting, Finance, Data Science, Engineering, or a related field and 5 years of progressive, post-baccalaureate work experience in one or a combination of the following: IT Audit and/or Financial Services.
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Degree in quantitative field of study (computer science, applied mathematics, statistics, etc.) Drive projects across multiple products and areas, provide thought leadership to the team both strategically and technically, drive a roadmap and provide mentorship efficiently, drive the data science culture such as experimentation.
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A bachelor's degree from an accredited college or university in a related field (Social Sciences, Political Science, Computer Science, Criminology, Criminal Justice etc.) Experience using data visualization software such as PowerBI or R Shiny.
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The team members have diverse backgrounds such as math, physics, economics, quantitative finance, computer science, and other science and engineering fields, and collaborate closely with business-side colleagues, platform architects, software developers, and product managers to deliver analytics through the software platform for the firm’s clients.
$130,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The candidate should have 2+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Bioinformatics, Physics, Mathematics or Engineering.
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Currently pursuing or recently graduated with a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering (Electrical, Mechanical, Renewable Energy focus), or a related field.
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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.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Business Administration/Management, Engineering, Operations Management/Research, Finance, Accounting, Computer and Information Science. Conducting and managing market research and quantitative and qualitative analyses, including the synthesis of complex data into meaningful insights and the ability to grasp readily analytical frameworks and employ them effectively to either qualitative or quantitative evidence.
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Bachelor's degree in Computer science, Engineering, Finance or Quantitative Finance. The group puts innovation at the heart of its development and intervenes in areas related to the technological changes of large groups, such as Artificial Intelligence, Data Intelligence, Web3, Metaverse, Blockchain, or IoT.
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data science computer jobs in Jersey City, NJ
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