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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Strategic Thinking: Ability to craft and execute a data strategy that integrates data analytics, data science, and machine learning to support business objectives and foster innovation.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Bachelor's or Master's degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and/or Data Science.
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Bachelor's degree in a relevant field that focuses on Management Information Systems, Data Science, Computer Science, Information Technology, Information Systems, or related field.
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Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB.
$174,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Embark on a leadership role within the Blue Yonder Data Science and Machine Learning team as a Staff Data Scientist, steering our machine learning platform that processes real-time data and powers deep learning models, generating billions of predictions daily.
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in North Ameria or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
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Require Bachelor of Science in Computer Science/Engineering, Information Systems/Technology, Engineering, Data Analytics/Sciences, or related fields and 5 years of experience in the job offered, software engineer/developer, data analyst/engineer/scientist, systems/programmer engineer/analyst, associate/consultant, or related field.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science, and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Experience with one or more of the following a plus: model development, machine learning / artificial intelligence, and data science. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Serve as a consultant to embedded delivery, analytics and data science teams in the development of their data strategy and the ideation, design and implementation of data solutions including data assets and insights.
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Experience in data science for e-commerce and/or OTA. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology.
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The successful candidate will be innovation-minded with a blend of skills in data analytics, data engineering, and data science. 7+ years relevant experience in related analytics, data science, and business intelligence.
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data science jobs Title: data in Dallas, NV, Canada
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