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At Nationwide, our People Analytics team models complex problems, discovers insights and identifies business opportunities using scientific research methods, statistics, machine learning and data visualization techniques.
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Aid in the design and implementation of machine learning, data mining, data fusion, and data engineering techniques applied to cyber microelectronics security problems. Basic machine/statistical learning approaches and validation techniques.
InternExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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You will work with a cross-functional team of technology, behavioral science, statistics, and human resources functional experts (talent management, talent acquisition, learning, diversity, compensation, benefits) to build the next generation of people analytics tools.
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Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms. 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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5+ years working with and analyzing large and complex datasets, both structured and unstructured; experience in leveraging those datasets for training, evaluating, and deploying Machine Learning / Deep Learning / NLP / Time Series models.
$272,900 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Ability to analyze data using tools such as Tableau and Alteryx to develop and automate reports or analyses that lead to actionable business insights, along with experience in data analysis, cleansing, modeling (including machine learning, time series, NLP), and visualization.
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4+ years of relevant data analytics experience in one or more of the following areas: statistical modeling, machine learning, natural language processing (NLP), and geographical information system (GIS.
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MS Suite, Excel with Pivot Tables, Tableau, Python, SQL, Adobe Analytics, BigQuery, Tableau, PowerBI. Manage Adobe Analytics tracking and BigQuery data warehouse systems, to shift acquisition tracking and attribution from third-party ad platforms and agencies to internal systems.
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Demonstrated accomplishments and recognition or reputation in one or more of the areas indicated, including areas such as separations, reaction engineering, advanced granular materials (non-polymeric), and catalytic or non-catalytic processes in photo-, electro-, and/or thermo-chemical systems, as well as sustainability, green chemistry, process control, systems engineering, modelling, machine learning, data analytics, or artificial intelligence.
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Certifications and accreditation with Google Cloud would include Google Professional Machine Learning Engineer, Google Cloud Architect, and completion of Level 400 Google Gen AI skill badge.
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The Ohio Digital Academy seeks to create a technology workforce pipeline by training and employing early entrants to the industry and setting them on a path to careers for in-demand fields such as cybersecurity, coding, software engineering, user experience design, cloud engineering/architecture, and data analytics.
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Experience with developing data and analytics solutions in Azure, using such technologies as Azure SQL Databases, Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, Azure Stream Analytics, Azure HDInsight, Azure Machine Learning and others.
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The department’s faculty and researchers are active in the areas of analog and RF electronic circuits, communication and signal processing, computer and digital systems, computer vision and image processing, control systems, machine learning, electromagnetics, remote sensing, microwaves, optics and photonics, nanotechnology and electronic materials, robotics, intelligent transportation, networking, sustainable energy, and power systems.
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Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, robotic process automation, and machine learning to produce targeted data solutions.
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Four or more years with practical experience in developing natural language processing (NLP) and machine learning models. Stay up-to-date and share latest advancements in natural language processing, machine learning and educational technology.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago
machine learning analytics jobs Company: Dice in Columbus, OH
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