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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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This individual will be responsible for executing on the operational security program, overseeing Vulnerability Management, Data Security and Protection, Cloud Security, Infrastructure Security, and the Cyber Threat Intelligence program.
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Own the Business Intelligence tool rollout, reporting hierarchy, data definition library and supporting each line of business with their data and dashboard needs. Experience using cloud-native data warehouse solutions such as Snowflake or Databricks.
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The Sr. IA Developer will also participate in POC’s, innovation efforts, and complex design and development of end-to-end process optimization solutions incorporating the latest technologies available in UiPath and adjacent tools, including Artificial Intelligence, Large Language Models, Intelligent Document Processing, Communications Mining, and others.
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Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security.
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Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure) Experience applying data science techniques, including time series, supervised learning (e.g., regression analysis, classification analysis, univariate models, multi-variate models), and/or unsupervised learning (e.g., clustering, association, dimensionality reduction), to Finance use cases such as forecasting and predictive analytics.
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Experience developing solutions in at least 4 of the following technology areas:Microsoft Azure (Preferred) Microservices and Containers DevSecOps Data Analytics ML/AI (Machine Learning / Artificial Intelligence) Data Center Operations.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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3-5 years of experience in applying deep learning methods to text data, including natural language processing, text classification, sentiment analysis, or other related applications. We are seeking a highly skilled and motivated Senior Data Scientist with expertise in deep learning, particularly as applied to a combination of text and structured data.
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This role monitors the domains of security controls including, but not limited to, malware defense, network security, Internet security, security analytics, threat intelligence and defense, cybercrime, data protection, vulnerability management, and customer authentication.
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EDUCATION AND SKILLS Juris Doctor - Graduation from A.B.A. accredited law school At least 3-5 years of relevant legal experience in the cloud and technology sector Preference is experience and expertise in negotiating key terms for Cloud agreements, such as data protection, data analysis, security, artificial intelligence, compliance/regulatory, limitation of liability terms, etc.
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Business Intelligence: Qlik, Domo, PowerBI, Tableau (focus on admin, data pipelines, and light development) Assist in establishing project plans across Business Intelligence, Data Science, Product Development, and Software Development teams to ensure client outcomes are met in a timely and consistent manner.
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The following skills are preferred:Programming and database skills;Experience in Business Intelligence/Reporting tools (, Power BI, WebFocus, Tableau etc.) ;Working knowledge or proficiency in SQL Databases to code business rules in data extraction scripts, stored procedures, ETL tools;Translate business requirements to functional and technical documents to able to interact with IT development teams to build compliance system solutions;Exposure to Data Extraction tools (SSIS, Informatica etc.
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Data Integration: Oversee the integration of data from various sources to create a unified data ecosystem that supports business intelligence and analytics. Technical Skills: Proficiency in data management tools and platforms (e.g., SQL, Python, R), data visualization tools (e.g., Tableau, Power BI), and data governance frameworks.
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NET based applications, client databases (Oracle/Oracle Exadata, SQL Server), data warehouse (Oracle Exadata), and enterprise reporting (Oracle Business Intelligence Enterprise Edition (OBIEE), Data Visualizer, or Power BI.
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data intelligence jobs in Atlanta, GA
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