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Experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc.
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The University of Washington is a science and engineering leader in computation, modeling, and data sciences, from atmospheric sciences and oceanography to quantum chemical systems and protein design.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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We use data across the sustainability imperatives (carbon, water, waste, biodiversity, environmental risk and more) and these skills and capabilities to identify, develop, experiment, and scale the scientific solutions and innovations necessary for Amazon, customers and partners to help them solve their hardest unmet and evolving sustainability needs and goals.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow.
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Conduct state-of-the-art research to advance the science and technology of the core components of our services by conducting research on sequence prediction models for NLP, large-scale neural language models, large-scale hierarchical classification models, natural language understanding, and deep learning methods for mining product catalogs.
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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USGS employees are subject to Title 43, USC Section 31(a) and may not: (a) have any personal, private, direct or indirect interest in lands or mineral wealth of lands under survey; (b) have any substantial personal, private, direct or indirect interests in any private mining or mineral enterprise doing business with the United States; or (c) execute surveys or examinations for private parties or corporations.
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Relevant experience within the sports media/streaming media industryEducation:Bachelor’s degree in computer science or related technical field. Working knowledge of developing QA test and troubleshooting plans and strategies for data/analytics.
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Data modalities include cutting-edge highly multiplexed imaging-based spatial single cell proteomics, NGS-based spatial transcriptomics, tumor and germline DNA sequencing data, RNAseq and harmonized detailed epidemiological, lifestyle and clinical data from ethnically diverse colorectal cancer patients.
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Microbiology, Environmental Science, Paper Science, or Water Resources.
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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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This individual will be adept at synthesizing meaningful and actionable information out of vast amounts of data, leveraging data mining and analytics tools including Power BI, SAP Analytics Cloud, Tableau, SAS, and other similar data analytics tools.
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Job Title: Data Science Engineer. Specialized Area: Data Science. Data Warehousing experience with Oracle, Redshift, Teradata, Snowflake, etc. Job Summary We are looking for an intellectually curious, business/tech-savvy, analytical powerhouse to join The Walt Disney Company’s DTCI group as a Data Analyst in the Data Platform and Analytics team.
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data science mining jobs Title: forecasting Company: Amazon in Seattle, Sherwood, Oregon
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