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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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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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Troubleshooting, Monitoring and Performance Tuning of various software components of various data science analytical solutions, Restful web services and etc. The Data Architect ensures tight alignment and collaboration with technology and business teams, taking ownership for essential data strategy decisions.
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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Applicants should also have a demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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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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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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Experience gained through college degree programs and/or certifications in Information Systems, Computer Science, Data Architecture, Data Engineering, Modeling, etc. The Data Architect is responsible for delivering that Data Strategy and full Data Management lifecycle solutions that enable business teams, IT teams, and external partners.
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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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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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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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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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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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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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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow.
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They will work with various data sources such as Power BI, Nielsen, and IRI, to analyze the information and present to stakeholders. Assist in the design and development, and further maintain, interactive dashboards and reports using tools like PowerBI, syndicated data (Nielsen/IRI), and other relevant data sources.
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data science jobs Title: data architect Company: Zoom in Dallas, TX
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