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Junior Data Scientist - Remote Job, 1+ Year Experience. Contribute to internal libraries to help other teams with their data science needs including visualization, prediction, optimization, and inference.
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By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles.
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Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers Job Requirements: 6+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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We are seeking an Applied Scientist / Data Scientist with deep expertise in machine learning, artificial intelligence, including the development and deployment of large language models.
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As a Data Scientist at IBM, you will help transform our clients’ data into tangible business value by analyzing information, communicating outcomes and collaborating on product development.
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4 years of work experience in a similar or technical role (e.g., developer / analyst / data scientist / researcher). Experience in building smart contracts, web scraping, data extraction through APIs, UI development, and using blockchain native data providers (The Graph, Dune Analytics, Etherscan etc.
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GCP/Hadoop and big data experience - an advantage. PayPal is seeking a talented Machine Learning Scientist join our Global Machine Learning team, driving the development of AI-driven solutions that will shape the future of PayPal. You design and develop ML solutions including personalization, recommendation, and ranking of deals and promotion across our Brands and surfaces including Venmo and PayPal. Your goal will be to optimize the customer journey through personalized, thrilling experiences.
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Big Data Experience : Cloud Services (GCP, Microsoft Azure, AWS) Technique : Hyperparameter Tuning, Imbalanced Data, Ensemble Learning, Boosting. Learning, implementing optimization tools in cooperation with the wider data science team.
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Assist Clinical Scientist, Study Responsible Scientist (SRS), &/or Study Responsible Physician (SRP) in various clinical research assigned Immunology Development clinical trials. Assist with clinical study activities such as study start up, investigator meetings, data review, etc.
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Overview Synaptics is seeking a Sr. Staff Data Scientist to establish the data science function in Synaptics with initial focus on New Product Introduction and Enterprise Sales. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP)Domain expertise in the semiconductor industry an advantageNatural language processing (NLP) and text mining skills a plusNo travel requiredBelief in DiversitySynaptics is an Equal Opportunity Employer committed to workforce diversity.
$162,000 - $254,100 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals.
InternExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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With more than 4,000 employees worldwide, APTIM specializes in critical infrastructure, technical and data solutions, program management, environmental services, resilience, as well as sustainability and energy solutions.
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Experience in cloud-based platforms i.e., Azure, AWS, GCP and big data technologies i.e., Hadoop, Spark is highly desirable. Design and develop advanced AI/ML, computer vision and geospatial models for complex environmental challenges using diverse data i.e., Satellite, Lidar, and refine methodologies for accurate and efficient processing of 2D/3D data.
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Architect and design Unified Data & Analytics solution on AWS/Azure, Snowflake / Databricks, Map tools, technology, and solution components against business capability requirements. Must have implemented at least 2 or 3 data management solutions in Investment management / Portfolio management / Fund management, end to end.
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data scientist jobs in San Jose, CA
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