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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Years' experience in IT Consulting, Management Consulting, Process Improvement, or similar area Bachelor's degree in Business Informatics, Computer Science, Mathematics, or other Information-oriented degree program Basic knowledge of SQL Strong interest and/or experience in Big Data, Data Mining, and Process Mining Experience with other programming languages such as Python, R, MATLAB, etc.
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Edinburgh #kiev #hcmc #hanoi #sanaa #taiz #aden #gibraltar #marrakech #lodz #wroclaw #poznan #Gdansk #szczecin #bydgoszcz #lublin #katowice #rio #salvador #fortaleza #brasilia #belo #belem #manaus #curitiba #portoalegre #saoluis data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Principal Data Scientist / Applied Machine Learning Scientist Computational Advertising is a critical data science/applied machine learning role that uses cutting-edge machine learning, deep learning, big data mining and optimization techniques to solve the challenging problems from ads relevance, ranking to campaign optimization.
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Amazon AI is looking for world class scientists and engineers to join its AWS AI Labs. This group is entrusted with developing core data mining, natural language processing, deep learning, and machine learning algorithms for AWS. You will invent, implement, and deploy state of the art machine learning algorithms and systems.
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You have strong implementation experience with at least one programming language (Python, R, Java, Scala, etc. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.
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Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
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Fluency in SQL or other programming languages (Python, R etc) for data manipulation. - Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our customers interact with our ads products.
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Experienced in Python, R, Spark or other languages and frameworks appropriate for large scale analysis of structured and unstructured data. Experience with Machine Learning, NLP and data mining tools and underlying algorithms.
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Experience in one or more data science languages, or toolkits such as R, MATLAB, Python, numpy, pandas, scikit-learn, TensorFlow, etc. Serve as a cross-product expert, providing technical guidance in Machine Learning, Natural Language Processing, Information Retrieval and Data Mining experiments and projects.
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Performs complicated statistical and data -mining analysis, using statistical tools like R, SAS and MATlab input and design of data acquisition systems, data structure and database design.
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Strong analytic and data analysis/mining skills via Excel, Minitab and/or JMP, python. Familiarity in Python for equipment control and data analysis. Lumentum’s optical components and subsystems are part of virtually every type of telecom, enterprise, and data center network.
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Proficiency in 1+ programming language (Python, R, etc) and/or Advanced working knowledge of data mining using ETL, data warehouse. and data visualization tools such as Tableau experience.
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You make effective use of big data technologies such as Spark and AWS, are able to write efficient SQL, and are proficient in one or more of the following programming languages: R, Python, Java, or Scala.
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