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Produce intelligence through querying data repositories, generating periodic reports, and identifying risk trends through quantitative and qualitative analysis. Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc.
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Wells Fargo is seeking a Lead Cyber Security Research Consultant will perform tactical cyber-attack evaluation, exploit testing and analysis, cyber intelligence, and red or purple teaming.
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Data Strategy and Roadmap Development. Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata.
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The model development life cycle includes data acquisition, assessing data integrity, model development, documentation, implementation assistance and assisting with closing assurance provider issue related to the model.
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Evolve, develop, and grow business intelligence solutions for the organization while serving as a trusted partner to the CFO, CEO, and entire Executive Leadership Team.– Transform data collected across multiple touch points including Technology, Digital, Marketing, Store Operations, Culinary, Development and Supply Chain into strategic insights for the Executive Leadership team.
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Minimum 5 years of experience in leading and managing various functional team within ED&A such as data analysis, business intelligence, data visualization, reports and dashboards.
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Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Familiarity with Big Data technology in-cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake.
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EIT is transforming the way testing is built and executed with digital transformation, implementing automation, and leveraging cutting edge Artificial Intelligence/Natural Language Processing technologies.
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Data Science, Intelligence and Governance. Define a decision framework that encompasses information policies and standards enabling successful business outcomes with big data and analytics.
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The Lead QA Analyst is responsible for testing BI Data solutions and enterprise semantic model, while coordinating the development of these requirements with the Data engineering team.
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At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Familiarity with a wide range of cybersecurity solutions, including but not limited to network security, endpoint security, threat intelligence, and cloud security. Their recent seed round raised an unbelievable $11M at a $36M valuation, and the founders' last venture resulted in a big exit with the sale of the company to Microsoft.
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Provide strategic and tactical security guidance for secure application development, including the evaluation and recommendation of technical controls. Thoroughly understand secure application design principals, including the areas of authentication, authorization/least privilege, logging, encryption, data masking, data retention, and secure data transmission.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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artificial intelligence research and development big data jobs Title: engineer in Charlotte, Aurora, Illinois
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