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This team focuses on implementing all aspects of data analytics and data science, including data querying, visualization, predictive analytics, machine learning, artificial intelligence, and robotic process automation (RPA.
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Deconstruct multi-source reporting into actionable intelligence including Tactics, Techniques, and Procedures TTPs data objects, campaign analysis, and threat patterns. Develop expertise on the Capital One threat landscape using internal data, threat trends, and operational metrics to clearly communicate the Capital One threat landscape to senior executives, to include the Chief Information Security Officer and Chief Information Officer.
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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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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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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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We have revolutionized the emergency loan market by using sophisticated machine learning (artificial intelligence) and big data to detect fraud and predict payback. Work closely with a team of data scientists to leverage machine learning models to drive business performance.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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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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Experience with big data technologies such as Databricks, Spark, SparkR. The ideal candidate will be skilled in statistical analysis, machine learning, and leveraging Azure technologies in big data to drive significant business impact.
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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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From a bowl of half sours to our two-dollar bills, we empower each team member to deliver Big Sky Moments in ways that are natural and effortless to Ted’s and our guests. We live by “The Big Sky Spirit” which is our cultural compass and is evident in everything that we do.
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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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Solid experience implementing data lineage, data quality and data observability for big data workflows. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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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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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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big data intelligence jobs Company: Ai Inc in Atlanta, SC, Australia
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