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A wide range of appropriate primary disciplinary backgrounds will be considered, with preference for applied interdisciplinary training in the natural, physical, or social sciences (e.g., restoration ecology, biological conservation, wildfire science, natural resource management, sociology, ethnic studies, economics, urban planning, energy, or water resource management) and data sciences (e.g., statistics, math, computer science.
$90,000 a yearInternExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Develop and implement a cloud architecture for intelligent charging control of EVs. Perform evaluation of prototype, using EVs or real world big data of EVs. Work closely with other experts in Data Science, Optimization, Energy Systems, and Business to realize future service concepts of EVs.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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The ideal candidate will have strong SQL, computer science, and big data skills, as well as expertise with Snowflake and AWS cloud technologies. Minimum 4 years experience with various AWS cloud technologies and data lake management – S3, Lambda, Redshift/Athena, Glue Bachelor’s degree in computer science or related field (preferred) Specific technology tools and methodologies you’ll be using on the job include: Snowflake Technologies – SnowSQL, Snowpipe, SnowPark, etc.
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And experience with machine learning frameworks and tools with preferable experience in big data processing, e.g. Hadoop, SQL, Spark. 1-3 years (with PhD) or 3-5 years (with Masters) of industrial experience in Computer Science, Artificial Intelligence, Information Retrieval, or a related field, with a focus on NLP or machine learning.
$205,700 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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You will be impacting every aspect of the business and it will require various techniques, from diving deep into data with SQL and Big Data tools, all the way to deploying modern machine learning models.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Required Skills: Java, Scala, Big Data, Data Analysis, Data Warehouse. Additionally, candidates should have over three years of robust Java experience and at least two years in designing, implementing, and supporting big data solutions in Hadoop using Hive, Spark, Drill, Impala, and HBase.
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We pride ourselves on our collaborative culture, combining expertise in cloud computing, big data, and privacy engineering to tackle some of the most complex challenges in the tech industry.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Candidates with experience in Big Data, AI, security, formal verification, etc. Bachelor's degree in Computer Science, similar technical field of study, or equivalent practical experience.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Bachelors or higher degree in Computer Science or related technical discipline; - 2+ years of experience managing or tech-leading a software engineering team; - 5+ years of experience working in large-scale system development and solid track of records; - Strong communication and teamwork skills; - Experience of E-commerce supply chain is a big plus, including fulfillment center, logistics, and/or supply chain technology; - Strong business acumen and data sensitivity are a big plus.
ExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Big data pipeline experience (Kafka, Spark) BS or MS in Computer Science or related field or equivalent practical experience. Proficient with programming languages such as Clojure/Go/Java/Python with sophisticated proficiency in at least one language.
Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark). Education: Ph. D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
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Familiarity with Spark, Databricks, MLFLOW, and Big Data related technologies - a strong advantage. Experience in Data Science in Ad-Tech. BSc in Computer Science/Engineering or related field with a focus on applied statistics, AI, machine learning or related fields.
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As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, 3D Perception & Mixed Reality, Cloud Robotics, Data Science, AI Platform, Time-series Analysis.
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We are seeking candidates with expertise in areas such as machine learning, deep learning, natural language understanding, and data engineering to contribute to our interdisciplinary applied data science curriculum.
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Bring your knowledge of computers and networking and take it to a new level in any one of the following product categories including: cloud, social, mobile/wireless, video, VoIP, big data, collaboration, web, Internet of Things, routing, switching, IPv6, data center, HPC, Telepresence and many more.
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