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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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Experience with data science / machine learning algorithms and tools (R, Python, or other development tools) required. Advanced degree in data science or quantitative / STEM field required, PHD preferred.
$108,700 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Azure DevOps, Databricks, and data visualization or related dashboarding tools. Are you a Principal Software Engineer who would be excited about joining an established AI/Data Science Center of Excellence team at a large, stable company.
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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
$214,000 - $305,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally a Bachelor's degree or higher in Machine Learning, Computer Science, Computational Linguistics or other relevant technical field. deep understanding and extensive practical experience with SoTA techniques from natural language processing, machine learning, deep learning, and prompt engineering.
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Day to day you’ll be building governed datasets to feed analytical reports and data science models, optimizing and creating new ETL pipelines, or building data models in Looker. Manage and model data in visualization tools, to provide a collaborative data analytics platform for the company.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree or higher in Urban Planning, Urban Policy, Geoinformatics, Geography, Geology, Geographic Information Systems Science (GISc), Urban Design, Data Science, Architecture, and Computer Science.
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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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Experience with ML/AI algorithms, deep learning, or natural language processing (NLP). SiriusXM is looking for a senior applied science leader to join our Science and Machine Learning.
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MS, or PhD in Computer Science, Computer Engineering, Mathematics, Electrical Engineering, Physics, or a related field. Foster a culture of innovation, impact, collaboration and inclusion within your team and the broader Science and Machine Learning organization.
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Hands on experience with programming for extract transform operations and data analysis using languages such as, but not limited to R, Python, SQL, and Excel VBA. Experience in developing data visualization and business intelligence solutions using tools such as, but not limited to, Shiny, Tableau, PowerBI, and front-end technologies and languages.
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ML Ops: Design and Build customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domainsTechnical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains.
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3+ years' experience preferred in data science, or quantitative field (inclusive of PHD work). Independently conducts advanced, complex analyses of internal and external client or industry data sources and leads the development of statistical models and/or machine learning algorithms for analyzing and predicting client behavior, securities performance, risk or economic data.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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The ideal candidate will possess a strong foundation in data science, with proven expertise in statistical analysis, machine learning algorithms, and data visualization techniques.
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computer science data visualization deep learning jobs in New York, Kekaha, Hawaii
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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Hiring Transparency
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