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Senior Geologist / Senior Environmental Engineer / Senior Environmental Scientist. Broadbent & Associates, Inc. of Dallas-Fort Worth, Texas is hiring a full-time, Senior Geologist or Senior Environmental Engineer or Senior Scientist to oversee a wide variety of complex, environmental projects in Texas, New Mexico and Oklahoma.
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Job Title: Principal Data Scientist, Enterprise Advanced Data Science - FinanceJob Summary: Finance is of paramount importance to McKesson. The Principal Data Scientist will be part of a talented team of data scientists and collaborate with financial analysts and cross-functional data, analytics, and enablement teams to improve decision-making within our corporate and business unit-focused finance groups and the business.
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The Director of Data Science will lead a team of highly talented and innovative data scientist in support of developing cutting edge data and analytics products to support decision sciences across all retail functions and brands.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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5-6 years of hands-on experience with Azure services, specifically Azure Databricks, Azure DevOps (ADO), Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and SQL Server. The ideal candidate will have 10-12 years of overall experience in data architecture, with 5-6 years of focused expertise in Azure cloud technologies, including Azure Databricks, Azure DevOps (ADO), Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and SQL Server.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Investigators in the Department of Radiology have direct access to several basic science laboratories including chemistry labs, a molecular biology lab, a cell culture lab, a small animal imaging lab, and a cyclotron and radiochemistry facility.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
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Data entry, data review, and GPS use. REQUIREMENTS:BS/BA degree in natural science field of study required. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography.
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Support vendor risk management and DPIA programs to ensure third parties comply with the Firm’s privacy and data protection requirements. This role requires Data Loss Prevention (DLP) program experience, including conducting investigations related to data loss, data exfiltration, or unauthorized access or use of data, or experience using eDiscovery solutions or similar technology.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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data science scientist jobs Company: Atlassian in Dallas, TX
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