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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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Experience developing Big Data applications using java, Spark, Kafka is a huge plus! If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
$170,700 - $256,500 a yearExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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As a part of the global research organization, our AI research department 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, and Time-series Analysis.
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Design and develop speech algorithms and systems using Digital Signal Processing (DSP), deep learning and big data. Design and develop speech algorithms and systems using Digital Signal Processing (DSP), deep learning and big data.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. 3+ years of experience with big data frameworks, such as Spark, Flink, Hadoop/Hive, etc.
$160,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Set the data science vision for RingCentral’s Data & Analytics organization and build the roadmap to drive business results. Evangelize the data science and research function within RingCentral and foster a strong data science community.
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Experience in data structures, algorithms, and deep learning libraries, including TensorFlow and Keras; Experience in Python and Java programming languages; Experience with Amazon Web Services; Experience with big data tools, data pipelines, RDBMS, and NoSQL databases; and Experience with real-time bidding (RTB) ecosystem.
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Proven track record of developing and deploying algorithms for a production-ready recommendation, data mining or prediction systems using languages and big data platforms such as Scala, Python, Java, Spark, Presto, and Hive.
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
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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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Must have expertise in NX/other CAD data migration from legacy system/s to Teamcenter PLM. Must have in depth knowledge on Teamcenter PLM architecture and data import - export utilities from data migration perspective.
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Optimize and tune our data pipelines for performance, scalability, and reliability, leveraging technologies such as Apache Spark, Kafka, and Hadoop to handle big data workloads. Stay current with the latest trends, tools, and technologies in data engineering and contribute to guide the evolution of our data technology stack.
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Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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big data jobs Title: technology Company: Feed in Palo Alto, CA
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5 Common Interview Mistakes
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Job Rejection Email Response with Examples
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How to Describe Your Personality with Examples
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To ATS or not to ATS
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