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O Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Senior Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse. Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, Restful web services and etc. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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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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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Collaborate with cross-functional teams, including data science, business intelligence, and infrastructure teams. We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US.
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The Chains Reporting Analyst will have the opportunity to contribute to the accurate and actionable insights that support data-driven decision-making within our organization. They will work with various data sources such as Power BI, Nielsen, and IRI, to analyze the information and present to stakeholders.
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Experience gained through college degree programs and/or certifications in Information Systems, Computer Science, Data Architecture, Data Engineering, Modeling, etc. Expertise developing and maintaining data catalog tools and technologies, such as metadata management systems, data cataloging platforms, and data lineage tools.
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This nationwide mortgage industry leader has an immediate 9+ month contract opportunity for a Data Integration ETL Engineer/Developer with DataStage and Talend experience. 5+ Years of DataStage and Talend ETL and data integration experience.
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IntroductionAs a Senior Data Scientist, you will be a Technical Lead on data science projects and work with key business stakeholders to identify problems and deliver insights that influence how we make decisions that have impact at scale.
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As a Senior Consultant in our AI & Data team, you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
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Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark). Leverage Azure Hyperscale SQL Server knowledge to do performance tuning to have applications running at optimal levels to meet SLAs. Should have Snowflake knowledge to Leverage Snowflake’s Data Cloud and the latest advancements in data migration and customized solutions to build POCs and prototypes that demonstrate value to clients.
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340B Revenue Management: Analyze complex financial and non-financial 340B revenue data from external pharmacies and suppliers, identifying trends, variances, and improvement opportunities. Job Duties & Responsibilities: Data Integration and Analysis: Integrate revenue & associated data into accounting software for robust reporting and analysis, ensuring accurate financial and programmatic insights.
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data science jobs Title: senior data analyst Company: Pimco in Dallas, TX
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