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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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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Degree must be earned in a related field such as statistics, data science, applied mathematics, computer science, information systems, or other quantitative and computational discipline.
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PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis.
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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master s, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
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Forensic science programs must be either FEPAC-accredited OR meet the minimum curriculum requirements pertaining to natural science core courses and specialized science courses set forth in the FEPAC Accreditation Standards.
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Experience with at least one data integration tool (e.g., Talend, Informatica Cloud, Pentaho, Jitterbit, Boomi, and MuleSoft) Must Have : Salesforce Data Migration, ETL Testing. Salesforce certifications: Salesforce Integration architect, data architect, admin.
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Proficient in data visualization and self-serve BI tools such as Tableau, Tellius, or Power BI. Advanced technical proficiency in data analysis tools such as SQL, Python, Alteryx, and Excel.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Participate in soil recharge studies involving horizontal directional drilling, measurement of water content using various sensors and geophysical instruments, data processing and related research activities.
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Visitor Services Assistant (PT), Texas Science & Natural History Museum. Science & Natural History Museum visitors. Texas Science & Natural History Museum. Science & Natural History Museum.
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Under limited supervision, this position is responsible for managing the real-time Supervisory Control Data Acquisition ( SCADA ) system for the Austin Bergstrom International Airport Baggage Handling Systems.
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Data Warehouse Developer/Manager. Serves as a primary contributor for the Enterprise Data Catalog, Master Data Management Metadata repositories, and manages the health and well-being of the repository using the tool Informatica Axon EDBusiness Process Management workflows.
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SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.
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Bachelor’s degree (Masters preferred) in Chemistry, Biochemistry, Pharmacology, Immunology, Pharmaceutical science or. Ensure data, reports, and any supporting documentation is delivered to the Sponsor by the agreed upon date.
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data science jobs Title: manager Company: Microsoft in Austin, TX
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