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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto/Trino, Athena, Spark, DBT. 3+ years of experience in Data Analytics & Science supporting anti-fraud, risk, trust & safety, or integrity problems.
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1 year of experience with Big Data in cloud computing platforms, such as Google Cloud Platform, Amazon Web Services, Microsoft Azure, Apache Spark, Snowflake, Databricks, or a similar cloud computing platform.
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M.Sc. in Computer Science, Data Science, or related engineering field with an emphasis in biomechanics (Kinesiology, Physiology, Exercise Science, etc.) Lead assigned data science initiatives for projects combining a large variety of human performance and runner behavior data, including but not limited to kinetics, kinematics, physiology, runner preferences, and runner perception.
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Lynker is seeking an experienced Environmental Data Analyst to support NOAA's Northwest Fisheries science Center with the analysis of stream invertebrate drift and estuarine invertebrate assemblages across the Pacific Northwest.
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For example- SVM, Random Forest, graph models, Bayesian inference, neural networks, NLP, LLM (Required) 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, etc.
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Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena 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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Experience building big data pipelines with Hadoop, Java, Scala, and Spark. -Use big data technology to evaluate and prioritize content discovery features. -Ensure successful deployment of features, code, data, and models to production.
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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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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Lead and participate in solutioning sessions, working hand-in-hand with businesses/clients, translating business objectives into actionable machine learning/data science use casesWhat You'll Bring.
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Big data and distributed systems (Spark, Databricks, Athena) Applying big data solutions to national security problems [Link] Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB.
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Using a big science approach, we generate useful public resources, drive technological and analytical advances, and discover fundamental brain properties through integration of experiments, modeling and theory.
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5+ years experience in one or multiple Big Data or cloud environments (e.g. AWS, Google AI/ML Platform., Snowflake, Databricks) Master's Degree in Statistics, Data Science, Applied Mathematics, Engineering, Operations Research, or similar fields.
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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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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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science big data jobs Title: associate professor assistant in Bellevue, WA
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