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This role carries primary responsibilities as a Platform Lead / Platform Engineer and Azure Platform Admin, while also contributing to ML Ops. Responsibilities: Design, build and configure a highly scalable and robust data platform on Azure and Databricks.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and growacross product categories and geographically.
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Lead data modernization initiatives that include platform, technology and tools implementation and adoption. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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If you are looking for an opportunity that provides satisfaction and personal growth, we encourage you to apply for our Virtual Trauma Data Abstractor I opening. As a trauma data abstractor, you will be responsible for the abstraction of data for complex trauma data.
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The picturesque Riverwalk serves as the cornerstone of the City's arts, science, cultural and historic district which features the Broward Center for the Performing Arts, Museum of Discovery and Science, Museum of Art and Old Fort Lauderdale Village and Museum.
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To complement and expand on existing strengths in Cardiopulmonary Disease; Stroke, Aging, Cell Metabolomics, and Metabolism; Inflammation, Infection, and Immunity; Bioinformatics, and Biomedical Engineering, the FIU Center for Translational Science (FIU-CTS) in Port St. Lucie, FL invites applicants with research expertise in these areas.
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Provide consulting advice and tools to improve revenue management analyst performance and revenue maximization, utilizing science models to support executive reporting and budget/revenue forecasting.
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This role is supported through the guidance of the rest of the Insights & Analytics team along with other data specialists across GCO, with business knowledge provided by the Casino Marketing team.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The curriculum is designed to train you to become a Data Analyst, learning Python, SQL, machine learning, data visualization and data engineering. We do this through Intensive courses & bootcamps in Web Development, UX/UI Design, Data Analytics & Cybersecurity, as well as Career Services aimed at helping our students to be prepared to look for a job after the course.
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The Associate Professor of Informatics shall have the primary responsibility for supporting the Department of Computer Science and Technology in maximizing the University's operating performance while achieving institutional goals and objectives, requiring a strong academic background specifically in animation, game design, esports, innovation and entrepreneurship.
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Experience with data visualization tools such as Tableau, Power BI, or matplotlib. We employ a highly scalable data-centered approach to catalog pricing and management, utilizing cutting-edge prediction and risk assessment methodologies alongside innovative optimization tactics.
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Understand data exchange patterns and data quality impacts related to nCino changes or enhancements. Ensure viability of the product, and the data that resides within it. Collaborate with key stakeholders to gather business requirements, utilize data insights, share relevant technology trends, and define digital solutions.
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Bachelor's Degree, preferably in computer science, engineering, or sciencesAbility to gather insights from data; SQL, Tableau or Looker experienceVendor management, including selection and contract negotiationsExperience working with order aggregation and dispatching platformsStrong written and verbal communication skillsAbility to operate effectively in both tactical and strategic capacitiesKnowledge of restaurant operations and franchise systems #Firehouse.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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data science jobs Title: data science lead in Miami, FL
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