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Thousands of enterprises including Cisco, DocuSign, Pacific Life, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI.
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Our areas of expertise include remote sensing, geospatial analysis, GIS, soil science, water quality and demand evaluation, agricultural systems, salinity and nutrient management, ecosystem restoration, statistics, and regulatory policy.
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Serving as the Senior Data Reporting Analyst means you bring experience in analytics in the various business areas the HIE supports. The Senior Data Reporting Analyst will seamlessly mesh tech know-how with business acumen to help navigate Contextures data and visualization needs, including application design, maintenance, support and planning, and everything in between.
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Experience leveraging Esri’s software capabilities including, mapping, field operations, spatial analysis and data science, 3D visualization and analytics, data management, and developer APIs.
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The Senior Data Scientist has primary responsibility for conducting data science projects with applications in educational data mining and learning analytics. Masters’ degree in data science, computational linguistics, data mining, machine learning, statistics, computer science, operations research, engineering, mathematics or related field required.
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Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization. 6+ years of hands-on Data Science or ML Engineering experience (4+ if you have a PhD.
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Cloud Solutions, IoT, AWS, Azure, Data Strategy, Data Science, Data Engineering, Cloud Modernization, Cloud Software, User Experience, Data Visualization, and UX and UI.
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ND&A is a broader Wireless Data Analytics and Science team intended to drive us toward the best in Network Quality. Proficiency in R, Python, SAS or other complex analytical tool, and Tableau or other data mining/visualization software.
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Knowledge of data engineering and data science concepts and workflows. Key Skills: Cloud Engineer (Azure) with experience in Databricks and data platform architecture. Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks.
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In Computer Science, Information Systems, or related field 2+ years of database development and data analysis experience 2+ years of data transformation experience A good understanding of dimensional models (Star or Snowflake schemas) Proven experience as a BI Developer or similar role, with a strong understanding of business intelligence concepts and methodologies Proficiency in SQL programming and experience with relational databases (e.g., SQL Server, Oracle, MySQL, etc.
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Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Strong knowledge of data visualization tools (e.g., Power BI.
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Technical diploma in Funeral Services or Mortuary Science preferred. Bachelor's degree in Mortuary Science or other degree as required by state/province law and as prescribed by each state board.
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A requirement of this position is that you possess at least a Bachelors Degree from an accredited college or university in natural science, chemistry biology, molecular biology, or a closely related field.
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Proficient interviewing techniques; the ability to coordinate the gathering, reporting, and dissemination of information to leadership and key stakeholders; data analysis skills (including ACL, SQL, Advanced Excel, Access, or other data-mining tools.
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MSc Degree, or BSc Degree with 3 to 5 years of experience, in Metallurgical and Materials Engineering / Materials Science or related Science degrees. Collect and analyze experimental data to research meaningful, valid conclusions and write summarizing reports.
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data science jobs Title: senior manager Company: Pwc in Denver, CO
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