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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)Primary Location.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Basic Qualifications for consideration:● Bachelor's degree in Computer Science or a related field● 5+ years of Data engineering experience● 5+ years of experience with MySQL or similar relational databases● 3+ years of experience with Snowflake or similar analytical databases● 3+ years of experience with building data pipelines and data models● Experienced in the day-to-day practicalities of Software Development Lifecycles such as Scrum.
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Grail.com. Operational Intelligence is seeking an experienced Data Engineer to help grow our ability to organize, transform, analyze and monitor operational data streams to derive significant insights while maintaining high standards of data integrity and reproducibility.
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We are looking for an excellent Sr. Data engineer with extensive data engineering experience for our data science platform supporting NVIDIA's cloud platform services.
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This is an opportunity to work on interesting data engineering anddata science problems, build large scale distributed machine learningsystems from the ground up, anduse cutting edge Big Data technologies like Spark, Kafka, HBase and Hive. RESPONSIBILITIES: ● Design and implement data pipelines empowering real timeinsights.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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5+ years professional experience in analytics, data science, data engineering, or software engineering. Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience in data science and machine learning for data exploration and analysis. Analog Mixed Signal IP Data Automation Engineer. In this hybrid (hardware/software) role, you will develop state-of-the-art automation flows to store, analyze, and visualize data collected from from analog-and-mixed signal IPs and systems.
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Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. Familiarity with GPU-usage terminology, networking terminology, server-cluster architecture terminology, and data-center physical-plant terminology is required.
$112,000 - $212,750 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The adjacent areas of major focus are Machine Learning Infrastructure and workflow, Experimentation Platform, Knowledge Graphs and various Data Science and Analytics related tooling. You will report into the Senior Director of Engineering, Data Platform as part of our Data organization in Engineering.
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We’re looking for a driven and innovative Data Platform Engineer II to scale our solutions, focusing on our analytical and data science needs. Qventus is on a mission to take modern technologies and principles proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs. Forward-deployed director of data science.
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Key subject areas within CDAO include Analytics and Data Science, Data Architecture, Data Platforms, Data Engineering Core Data Management, and Data Governance.
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data science jobs Title: data engineer in Sunnyvale, CA
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