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Experience with theory and practice of information retrieval, data science, machine learning and data mining. In addition to our On Demand catalog, Prime Video is excited to offer a wide selection of Linear Channels and Live Sports as well, including titles such as Thursday Night Football, English Premier League, NBA, MLB, ATP tennis, French Open, UEFA Champions League (list goes on.
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Preferred QualificationsYou will wow us even more if you have these skills:- Proven experience with data science/advanced data analytic techniques, such as using python, R, or other scripting languages- Proven experience with statistical data mining techniquesThe ideal candidate has a demonstrated aptitude for problem solving complex technical issues and thinking outside the box.
$68,900 - $124,550 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated proficiency in predictive modeling, data mining and data analysis. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining and NLP.
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You have experience in Natural Language Processing, Data Mining, Deep Neural Networks, Computer Vision. You have an MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
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Experience in leading teams who have expertise in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, recommender systems, and natural language processing.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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As an Applied Scientist on our Global Insights and Analytics team, you will play a key role in researching and developing cutting edge machine learning and artificial intelligence applications that enable sales and marketing teams to empower financial advisors with relevant investment solutions.
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Utilize data mining methodologies to analyze complex clinical datasets. To be considered for this role you must have a bachelor's degree in computer science, Data Science, Statistics, or a related field.
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Hands-on experience with customer segmentation, predictive modeling, data mining and customer journey analysis. Bachelors degree in Statistics, Mathematics, Data Analytics, Computer Science, or related quantitative field required.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Knowledge, skills, and relevant experience in one or more of the following is required: - Designing and implementing machine learning - Data mining - Advanced analytical algorithms - Programming - Data science - Advanced statistical analysis - Artificial Intelligence - Computational science - Software engineering - Data engineering.
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Bachelor's Degree in operations research, computer science, engineering, business, mathematics, information systems, management science, aviation, aeronautical, or air traffic management/science; advanced degrees may be substituted for some experience.
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) preferred. Familiarity with using Databricks or a similar platform for data engineering & data science.
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