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Or R, LLM, Machine Learning, Data Science/Engineering is a plus. Experience with Data warehouses - including SQL databases, Snowflake and/or Databricks. Experience in process automation, data analytics/engineering, ETL data manipulation, LLM models, business intelligence data analytics tools i.e. PowerBi or Tableau.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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We currently augment our clients with project support offerings across several technologies: Android and iPhone Mobile Development, AWS, Big Data, Data Science, Exchange, Cyber Security, and Azure.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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Excel including intermediate to advanced Excel skills including formatting as table, creating pivot tables, VLOOKUPS, using embedded functions, selection of and creating the right chart type for the data, logical and organized structuring of files.
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Undergraduate degree in applicable disciplines (e.g., engineering, environmental science, physical science, construction management, urban planning, or architecture); Master’s degree in relevant subjects preferred.
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Bachelor's degree in Computer Science, Computer Information Systems, or related field and 6 years of experience in the job offered or in a computer-related occupation. Execute data engineering projects ranging from small enhancements to large extensions of platform capabilities.
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Bachelor’s degree or higher in meteorology, atmospheric science, civil and environmental engineering, environmental science, data science, or a related field. This new technical position is for a team member that will support our analysis of climate and environmental data, use geospatial tools for the visualization of data, and conduct research to support the appropriate thresholds that define climate impacts on infrastructure and communities.
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Education/Experience: Master's Degree in Data Science, Data Analytics, or a closely related quantitative field like Business Analytics, Economics, Finance, Mathematics, Statistics plus 2 years of experience in the job offered or any related occupation -OR- Bachelor's Degree in Data Science, Data Analytics, or a closely related quantitative field like Business Analytics, Economics, Finance, Mathematics, Statistics plus 5 years of experience in the job offered or any related occupation.
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Data Science; Data Warehousing (DW); Structured Query Language (SQL); Data Systems; Data Modeling; Agile Methodology; Business Intelligence (BI); Machine Learning Techniques; Data Analytics; Data Engineering; Data Processing; Artificial Intelligence (AI); Machine Learning; SQL Databases.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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The Data Modernization Senior Consultant will design future-state, modern data architecture for transformation at the enterprise level using advanced cloud architectural principles for our State and Local government clients.
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Prepare and complete environmental survey reports, data entry, impact assessment, and permitting activities for assigned projects (e.g. Endangered Species Act, Clean Water Act permitting, CEQA, NEPA, etc.
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Sector- and/or process-specific experience in D&A strategy and transformation, as well as exposure to design and implementation needs with a good understanding of general landscape for data science and big data opportunities; deeper understanding of sector- and/or process-specific landscape for opportunities.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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data science jobs Title: consultant in Atlanta, SC, Germany
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