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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Responsibilities- Inform, influence, support, and execute our product decisions through data- 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- Help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.
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The faculty members are excellent educators with practical and research expertise in machine learning, data science, artificial intelligence, information security, mobile networking, social networks, bioinformatics, etc.
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Strong understanding of machine learning, deep learning, computer vision, natural language processing concepts, and speech recognition concepts. Proficiency in Python and basic libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks for all sorts of data science tasks.
$74,800 - $178,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are currently seeking a Data Scientist who will create strategy, implement and execute the strategy and use technologies such as Machine Learning, Artificial Intelligence, and Data Analytics.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Deep understanding of best practices and current trends in cloud providers, are comfortable working with multi-terabyte datasets, and skilled in high-scale data ingestion, transformation, and distributed processing; experience in understanding Apache Spark or Databricks is a plus.
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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. You will play a key role in our Advanced Technology Group "ATG.
$201,800 - $246,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Data Analytics and Machine Learning. Perform qualification test, lead wafer validation and generate proof data, provide training slides, user guide and other technical documents.
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Develop new methods for the synthesis of organic molecules and prepare intermediates for the synthesis of these molecules.
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5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow, PyTorch and LangChain with GPU and CUDA experience being extremely advantageous.
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Specialized experience for this position must include: Experience with data science and analytical methods from conducting machine learning, Natural Language Processing, and technical procedures such as, solution design, implementation, and deployment.
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As a Data Scientist focusing on Live discovery, you’ll be at the exciting intersection of Netflix’s core product and the emerging live streaming experience. Member Engagement and Experience Data Science and Engineering team is at the forefront of driving innovations in Netflix’s core product experience within our streaming and new business domains through data.
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This includes components in the entire processing chain, photon-to-photon: from image sensor data acquisition to stereo (and mono) displays. The ideal candidate will possess a proven background in FPGbased video/image processing with exposure to typical image processing algorithms and image sensor interfaces – implementation and evaluation with the trade-offs between visual quality, performance, and FPGA resource utilization in mind.
$118,500 - $200,600 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as E-Commerce payment risk, membership abuse risk and identity risk assessment.
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Your primary toolset in your work will be Java microservices, Spark/Scala data processing (maybe some Flink), Kubernetes and AWS native tooling. The team builds and operates systems to centralize all of the data the falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting.
$150RemoteExpandApply NowActive JobUpdated 2 days ago
machine data mining scientist processing jobs in San Jose, CA
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