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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Master’s degree in Business Analytics, Statistics, Computer Science, Applied Mathematics, Data Science, MIS, Management, Operations Research, Industrial Engineering, or a related field.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. We are seeking an Expert Data Scientist with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Acxiom’s business.
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Lead data science, artificial intelligence, and machine learning projects. Data science, artificial intelligence and machine learning projects. -10+ years experience with R, SQL, Python, or other data science programming languages; OR Master's/PhD.
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Proficient in data science tools and programming languages such as Python, R, Scala, SQL, and SAS. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
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Experience with a variety of systems, such as image recognition, machine learning, Edge AI, networking and communication, deeplearning, artificial intelligence, advanced computing, image annotation, data science, and image/video segmentation.
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The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude.
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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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Analytics Impact: Contribute to and manage advanced analytics (Data Science/ Artificial Intelligence / Machine Learning) initiatives that create tangible business value, beyond POCs and Pilots.
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BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred. We are looking for a Data Scientist who will support our product, sales, customer retention, leadership and marketing teams with insights gained from analyzing company data.
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As the Sr. Data Scientist, you be a critical partner to the business as you apply AI/ML/ Data science techniques to solve complex business problems and generate actionable insights (prediction, forecast, recommendations) for Customer Solutions to improve performance, optimize contract outcomes, and refine pricing strategy.
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The hiring of the Research Scientist will be through Georgia Tech's Institute for Data Engineering and Science (IDEAS). IDEaS leverages expertise and resources from throughout Georgia Tech's colleges, research labs, and external partners, to define and pursue grand challenges in data science foundations and in data-driven discovery, with energy infrastructure as one of those grand challenges.
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5+ years of experience in data analytics or data science or a master’s degree in data science, statistics, applied mathematics, analytics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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Our Team We have an opportunity on the Artificial Intelligence / Data Science organization at Georgia-Pacific’s Collaboration & Support Center, located in Atlanta, GA. We are looking for an experienced Lead Operations Research Scientist to join a team of Data Scientists to focus on providing support and solutions to our manufacturing operations.
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data science intelligence jobs Title: scientist in Atlanta, ID, United Kingdom
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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It might be tempting to overlook the importance of a well-written job description. After all, if you’ve posted job ads before and ended up with tons of resumes in hand, it’s easy to assume that this will always be the case, regardless of how your job ad reads. But, in reality, you really can’t take getting an influx of resumes for granted.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
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