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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 5 days ago - UpvoteDownvoteShare Job
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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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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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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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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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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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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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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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The Director of Data Engineering, owns the data strategy, architecting the right data platform, and serving analytics-ready data products to meet business needs. The Director of Data Engineering leads a small team of other data engineers and grows junior talent to the best of their capacity.
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Degree : JD or Bachelor's, Master's degree in a relevant discipline (e.g., Accounting, Criminal Justice, Finance, Information Systems, Information Technology, Law and Policy, Legal Studies, Management Information Systems, Pre-Law, Political Science.
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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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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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The Director, Data & ML Engineering willl be responsible for both data engineering and MLOps engineering teams to support data science applications. Job DetailsAbout SalesforceWe’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Senior Principal Engineer-Data Science. A Ph. D. in Statistics, Math, Economics, Engineering, Computer Science, Business Analytics, or Data Science is preferred. Bachelor's degree or 10+ years experience in practicing machine learning and data science in business.
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data science jobs Title: science director in Dallas, TX
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