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Studying Business Analytics, Data Engineering, Data Science, Computer Engineering, Electrical Engineer, or Computer Science. KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
$118,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
$179,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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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.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
$75,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Master's degree in a relevant field, such as Linguistics, Communications, a foreign language,- computational linguistics or other language or data-related disciplines is a plus. Bachelor's degree in Linguistics, Philosophy, Cognitive Science, a foreign language, or Literature.
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Dive deep into the data to perform qualitative error trend analysis, and devise action plan to improve data quality. As part of the Ai Data Team at AWS you will responsible for delivering high-quality training data to ensure the best performance of the AWS machine learning systems.
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The Bedrock team is a team of data linguists who primarily support the training of different models in the AWS generative AI platform. Our goal is to produce the highest quality training data in the industry and to delight our customers by improving human language understanding and natural language processing.
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Advanced degree (PhD required) in a behavioral science or social discipline (e.g., industrial/organizational, experimental, clinical, or educational psychology; public health, cognitive neuroscience, behavioral economics, computational social science), with a heavy quantitative focus for this training.
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About the role: The Data Engineer will collaborate closely with other Data Engineers, Software Development Engineers (SDEs), Analytics Engineers (AEs), Data Scientists (DSs) and Infrastructure Engineers (IEs) in the technology team.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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A bachelor’s degree in computer science, Business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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data science jobs Title: engineer Company: Dice in Austin, TX
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