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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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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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We are looking for a skilled Full Stack Engineer who is passionate about building robust and scalable applications that integrate data science algorithms and models. Job Title: Full Stack Engineer - Data Science Applications.
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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 6 days ago - UpvoteDownvoteShare Job
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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’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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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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Partner with Data Science, Product, and Engineering to collect requirements to define the data ontology for all of Roblox. 3+ years leading data engineering development directly with business or data science stakeholders.
$283,780 - $331,640 a yearFull-timeExpandApply NowActive JobUpdated 9 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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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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Strong understanding of computer science and software engineering fundamentals, especially data engineering and infrastructures, ETL processes, data integration, and database design.
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Collaborate 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 and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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As a Staff Engineer Data Scientist with a focus on GenAI (Generative Artificial Intelligence), you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement.
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data science jobs Title: data engineer in Menlo Park, CA
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