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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Blue Cross Blue Shield of Arizona (BCBSAZ) is urgently hiring mid and senior-level Analytics and Data Science Analysts to provide strategic analysis that impacts business decisions, improves efficiency, and drives innovation.
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Her multinational programs have specific themes that resonate with global stakeholders, such as food security data science, blockchain for social good, cybersecurity/risk mitigation, and more.
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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Computer Science and Information Sciences - Computer architecture, software, network architecture and communication, data processing, IT security, audio/video editing, image processing, etc.
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It also features pre-professional degrees in biology, alongside our degrees in microbiology, physics, and a forensic science and exercise science program. Qualifications:Preferred: MS/doctorate in a Biological Science with emphasis in microbiology.
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Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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Minimum: Doctorate in Computer Science, Computer Engineering, Software Engineering, or related discipline. Exceptional Expertise: PhD in any field with 12 graduate-level credits in a computational science.
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Any experience with Azure Data Lake, Azure Data Factory, Azure Synapse / Azure SQL / Azure SQL Managed Instance, Azure Analysis Services, DAX, Databricks, Azure Automation, Azure Key Vault, Azure Logic Apps, Azure AutoML PowerShell, Power BI.
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Market analysis – contribute to the development of semiconductor and wafer fab equipment market sizing forecasts and segmentations, using internal and external data sources. Minimum of technical undergraduate degree - Masters or PhD preferred (Physics, Materials Science, EE, ChE.
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Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Hadoop, Spark). Experience with data visualization tools such as Tableau or Power BI. Experience working with Python, SQL, data warehouse systems, data lake systems, and data pipelines in a cloud environment.
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Leads data center construction/integration activities on local/campus projects (e.g., new or retrofit data center facilities) and provides key input on all data center fit-out related activities.
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Data Acquisition: Prepare points lists of all data to be transferred between control centers and controlled apparatus, assign and program data addressing and routing information, develop Human Machine Interface (HMI) screens, travel to project sites to test and commission data transfer schemes.
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data science jobs Title: science director Company: Oracle in Scottsdale, AZ
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