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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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Our capabilities use machine learning, serverless, streaming analytics capabilities and data analysis to build a platform that provides powerful insights into understanding the true sources of our request flows.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Required Qualifications Educational Requirements - Bachelor's degree in computer science, data science, information systems, or a related technical field with minimum of 8 years of experience in Business Intelligence, Data Warehousing, and Data Engineering disciplines in an enterprise IT environment.
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We are looking for a Data Scientist to join our Risk Machine Learning & Decision Science team. You will have a chance to own the key metrics, develop data pipelines, ETL. You will also make direct impact to our key success metrics via building machine learning solutions, risk detection rule development and deployment.
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Experience with Databricks for data engineering and exploratory data analysis. Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation.
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Experience with Business Intelligence analysis and presentation tools, including Tableau and Power BI preferred. The ability to effectively mine data and draw relevant results on business performance.
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Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
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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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Prior data intelligence or market intelligence experience around dashboarding and delivery of insights. Elastic is data driven, and this role will be responsible for creating living dashboards of critical content (market intelligence, win/loss data, sales trends) to provide leadership timely data to make decisions.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Develop and implement a strategic security program to protect the organization's data, infrastructure, and assets. Ensure robust endpoint protection, network security, and threat intelligence capabilities.
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This position collaborates with personnel and stakeholders across multiple operations teams such as – Threat Analysis, Incident Response, Cyber Threat Intelligence, Security Infrastructure, Insider Threat, Red Team, Security Architecture, Dev-Ops, Detection Engineering, Identity Mgt, and more.
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data intelligence jobs Company: Ai Inc in Atlanta, SC, Australia
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