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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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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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The Director HR Tech Data and Analytics role will report to the Director, HR Tech and lead a cross-functional team responsible for dashboard development across the employee lifecycle, product development, data governance, and full stack HR reporting.
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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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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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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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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.
$107,925 - $179,875 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Bachelor's degree from an accredited college or university in computer information systems, computer science, data management, information systems, information science, mathematics, or a closely related field.
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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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Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction. Zilliant is looking for a Senior PM to join our Platform Product Management team, responsible for a key pillar of our strategy: data.
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Experience with data visualization techniques (tableau, Power-Bi, python) Relevant industry experience focused on Data science applications. This position is for a software/electrical engineer specializing in data science applications.
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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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Lead and mentor the B2B Marketing and Sales Data Science & Analytics functions, providing strategic direction, fostering a culture of collaboration and innovation, establishing the frameworks for managing and executing work, and directing the activities of the teams.
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Civitas Learning is bringing together the best of new technology, design thinking, and data science in our mission to help one million more students graduate each year. Build and maintain a successful collaborative relationships with groups outside of engineering including Data Science, Deployments, Product Management, Operations, and Customer Success.
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data science jobs Title: data in Austin, MT, Canada
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