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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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As the Credit Portfolio, Senior Product Marketing Manager, you will improve outcomes for sellers and the credit portfolio by working across all credit products and teams including Product, Engineering, Data Science, Design, Creative, Capital Markets, Risk, Legal, Compliance, and Credit Policy.
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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The Department of Radiology and Biomedical Imaging at UCSF is seeking a postdoctoral fellow interested in quantitative imaging and data science with application to breast cancer diagnosis and treatment.
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You will work on a variety of innovative and meaningful projects, starting with working on web interfaces for Ouva Care Automation & Patient Assistant Platforms that display live, streaming data by interfacing with our backend systems powered by machine learning.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Consultant role at Canonical.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. We seek a driven and innovative Data Protection Manager to support our program as the Bank grows and takes on additional data management and governance challenges, and regulatory compliance obligations.
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The Ecommerce Data Science & Analytics Team at Gap Inc. applies data analysis, statistics, and machine learning techniques to drive business benefits for Gap Inc. and its portfolio of brands (GAP, Old Navy, Athleta and Banana Republic.
$119,000 - $157,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Proficient in data science tools and programming languages such as SAS, Python, R, Scala, SQL. Work with a variety of data science tools and programming languages such as SAS, Python, R, Scala, SQL.
$167,780 - $281,870 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Within this practice, you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), enterprise and mobile applications, databases, web and cloud services, operating systems, software user interfaces, open source, 3D graphics, grid computing, networking, telecommunications, network protocols, IEEE standards, network security, etc.
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You will contribute to developing machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials. Join our team and leverage your expertise to develop state-of-the-art machine learning models and prediction pipelines using multi-modal biomarker data from clinical trials.
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The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub or other data tools like Kafka, Hive, or Apache Beam. Project categories: besides product requests and enhancements, we work on projects in performance and cost optimization, security and legal compliance, reliability and quality initiatives, as well as architectural refreshes such as POC in restructuring our data to be more streaming/real time friendly, new REST API for relevant services, migration of apps to Spark, Parquet, and other new technologies that could make our processing faster, more scalable, maintainable and cost effective.
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Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.
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Utilizes an in-depth knowledge of data science techniques and methodologies such as machine. Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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machine source big data science jobs Company: Walmart in San Francisco, CA
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