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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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The ideal candidate Data Analyst should have a strong background in computational biology, data visualization, neuroscience, gene regulation, and/or genomics. The Molecular Genetics department at the Allen Institute for Brain Science, MolGen led by Bosiljka Tasic, defines cell types in the mouse brain with single-cell genomics techniques and generates high-precision genetic tools to effectively identify, monitor, and manipulate distinct cell types within the mouse brain.
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The major areas of research currently include theoretical and experimental optical, electronic, and magnetic materials, polymers, ceramics, composites, nanomaterials, energy materials, quantum materials and devices, biomaterials, medical devices, additive manufacturing, data science of materials, and computational materials science.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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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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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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PhD in Linguistics or Romance languages, language technologies, computational linguistics, speech science, or related field. Master’s degree in general Linguistics or Linguistics with an emphasis on Romance languages, Computational Linguistics, Speech Science, or related field.
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An undergraduate degree in computer science, engineering, data science, finance, economics or related disciplines is a plus, MBA preferred. ● Implement and maintain the roadmap by working cross-functionally with members of the product team, engineering team, data science & analytics team, business team, finance team, legal team, operations team, marketing team, and more.
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In order to be considered for this role, you must have at least a Ph. D. and 5+ years, MS and 8+ years, or BS and 10+ years of relevant experience in computational biology, bioinformatics, data science, computer science, software engineering, engineering, or a related field.
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We perform innovative science to empower key data-driven decisions across a rich pipeline of next-generation medicines. Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record.
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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. Senior ML Research Engineer, Apple Services Engineering - Search Science. -Use big data technology to evaluate and prioritize content discovery features.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) Amazon seeks a Senior Financial Analyst to be a key member in our Device Science Optimization (DSO) team.
$56,900 - $128,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Advanced degree required in public health, epidemiology, health services research or a related field with significant coursework in quantitative methods (e.g., Applied Mathematics, Statistics/Biostatistics, Data Science, Operations Research) with demonstrated experience in health systems research.
$204,600 - $345,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
science data jobs in Seattle, WA
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