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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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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. This position requires:A bachelor’s degree in computer science, business or equivalent experience and eight or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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What you’ll bring to Circle: 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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Our rapidly growing team of 90 people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.
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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.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Typically requires a Bachelor s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of five years of prior relevant experience to include any combination of the following: RF design and fabrication RF test and troubleshoot Simulation of RF products.
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BS/MS in Computer Science, Computer Engineering, Data Science, Machine Learning or related major. Experience working with large-scale data warehouse solutions such as Snowflake, or Redshift and messaging queues like Kafka.
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We build the Data Engineering, Data Science, and Data Integration pillars of Microsoft Fabric. Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$112,000 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Raise the bar with data engineering & data science teams to improve foundational space data to drive better insights influencing store space allocationBuild Trust & improve processes across key stakeholder teams.
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Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science. Minimum of 5 years of experience in machine learning or deep learning engineering or demonstrated proficiency in Natural Language Processing (NLP) or Natural Language Generation (NLG.
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What You’ll Do: As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI/ML technology stack Develop and execute data strategy and architecture to drive business objectives and empower engineering teams and data analysts.
$196,000 - $366,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Continuous Learning of VCA workload: Continuously learn and stay updated with the changing nature of data science jobs to help improve Cluster utilization with active engagement, collaboration, effective communication, quality, integrity, and reliable delivery, develop and maintain a trusted and valued relationship with the team, customers, and business partners.
$119,100 - $154,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Partner with data science and engineering on SEM-focused solutions, including optimal bidding curves, budget allocation algorithms, campaign automation, incrementality and A/B tests, audience building, landing page optimization, and DSA page feeds.
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Bachelor’s degree in Civil Engineering or comparable engineering or applied science degree. QualificationsRequired Skills/Qualifications:Experience with surface water and/or groundwater modeling, data analysis, and project cost estimating.
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engineering data science jobs in Austin, Columbia, Missouri
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