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We are open to candidates from a wide range of backgrounds, but especially candidates with a strong technical background in areas such as artificial intelligence, causal reasoning, machine learning, natural language processing, optimization, security and privacy, and statistics.
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Data science, machine learning, optimization models, Master's degree 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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We are looking for a Senior Data Scientist, to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques. Sound knowledge of complex machine learning algorithms such as regressions, classification, clustering, optimization algorithms, neural nets, decision trees.
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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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3+ years of experience with advanced machine learning techniques, such as deep learning, natural language processing, computer vision and reinforcement learning. Robust data management and reporting skills, understanding of deploying machine learning models in real time production environments including cloud (Azure, AWS, GCP), Spark-based systems, etc.
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Experience with AI algorithms, predictive modeling and machine learning techniques and their application to insurance problem solving. Use AI algorithms and predictive modeling to create dynamic optimization models that can quickly adapt to changing market conditions and customer needs.
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5+ years of experience with machine learning, statistical modeling, and optimization techniques. Use data science and machine learning to develop effective predictive models.
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Experience with both supervised and non-supervised learning modeling technique. Experience with cloud computing services like GCP, AWS or Azure. Design and implement data strategy for both short term and long term plan.
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Manage cross-layer optimization of system and AI algorithms and hardware for machine learning (GPU, FPGA, ASIC) We are doing world-class work in machine learning, computer vision, natural language processing, speech and audio, and knowledge, and transferring our work into products, which hundreds of millions of users worldwide use.
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Objectives of this Role: Identify and pursue new research directions for current and emerging technologies in machine learning and human performance optimization. MS ad PhD candidates must have completed graduate work related to human performance, machine learning, computer vision, and data science/analysis.
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Machine Learning Engineer - Demand Forecasting (TikTok Global E-Commerce Supply Chain And Logistics)
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Proven experience as a Machine Learning Engineer or Data Scientist, with a focus on demand forecasting and supply chain optimization. As a Machine Learning Engineer focused on demand forecasting, you will contribute to the development and implementation of cutting-edge machine learning models and algorithms to optimize inventory management, supply chain efficiency, and enhance the overall customer experience.
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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)Primary Location.
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1 year experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization. 3 years of experience in data science, operations research, or data analysis with a focus on advanced analytics, statistical modeling, machine learning, forecasting and optimization.
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Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines. Experience with deployment of machine learning and statistical models on a cloud and leveraging ser-vices like Amazon SageMaker and Amazon Forecast.
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Statistical modeling, machine learning and optimization as a data scientist or team leader. Understanding of data preparation, machine learning, deep learning, and natural language processing.
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