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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. You have a Bachelor's or equivalent in Computer Science, STEM or similar degree.
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For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Prior experience with financial forecasting, data modeling or data science is preferred. Lead/collaborate where appropriate ad-hoc analysis to help drive business outcomes, including variance analysis and drill-down/through data mining to identify underlying drivers for actionable business insights.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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The incumbent will apply skills such as leadership, data mining, data engineering, data modeling, natural language processing and machine learning to extract and analyze information from structured and unstructured datasets.
$81,705 - $103,350 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Build scalable solutions to spark the potential of telemetry for data mining and anomaly & trend detection algorithms. Education & ExperienceM.S / PHD in Computer/Electrical Engineering, Computer Science or equivalent.
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As a Data Science Manager on the Consumer Digital Marketing and Base Management - Pricing Revenue Generation and Loyalty Team, you will be an individual contributor. Experience with data mining and visualization skills.
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Work could include involvement in the following areas: streamlining engineering and information processes, data mining, fact-checking and pioneering new methods for completing time-consuming tasks.
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Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in data mining, ML codebases, ML task development or automation, modeling, forecasting using statistics, analyzing trends and patterns, GUI design and deployment. Bachelors with 5+ years of relevant industry experience, or Masters with 3+ years or PhD in data science engineering or related technical field preferred.
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Experience in one or more of the following areas: machine learning, natural language processing, computer vision, robotics, or data mining. The Department of Computer Science at the University of South Dakota (USD) is currently seeking a talented individual to join our dynamic and innovative research team as a Postdoctoral Research Associate.
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Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions.
$129,000 - $228,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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