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Apply strong analytical thinking, various statistical methods, data visualization and data mining techniques to evaluate the performance of the deep learning and machine learning models.
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Sr. to Lead Data Scientist - AML / Anti-Money Laundering. - Remaining up-to-date with the latest trends and advancements in money laundering detection, data science, and machine learning, and applying that knowledge to the company's money laundering prevention capabilities.
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As part of an effort to bring the benefits of data science advancements to the energy industry and improve system efficiency, the Junior Data Scientist for Energy will be responsible for the implementation and evaluation of a variety of data science and machine learning projects.
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social casino company in the world.
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3+ years of experience with ETL/ELT development tools (Azure Data Factory (ADF) preferred). Experienced in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional and new data integration technologies (such as ETL, ELT, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization.
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Title: Data Scientist with (LLM and Deep Learning) Strong experience with data science tools including Python scripting, CUDA, numpy, scipy, matplotlib, scikit-learn, bash scripting and Linux environment.
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Salesforce & Databricks: Hands-on experience with Salesforce data extraction and Databricks. Salesforce & Databricks Expertise: Extract data from Salesforce and efficiently load it into Databricks, ensuring data integrity and accessibility.
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Responds to Facility Related Emergency call outs – second level escalation point for Data Center facilities related issues / failures. · Ensures that all electrical, mechanical, and fire/life safety equipment within the data center is.
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The Data Architect supports configuration management planning and describes provisions for configuration identification, change control, configuration status accounting, and configuration audits.
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Extract, transform, and load (ETL) data from various sources, including REST APIs, AWS S3 buckets, GCP BigQuery, and other on-prem/cloud databases. Ability to extract, transform, and load (ETL) data from diverse sources such as REST APIs, AWS S3, GCP BigQuery, and other databases.
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Lead the Biological Data Science department, managing a team of computational biologists, bioinformaticians, and data engineers. Supervise biostatistical analysis of clinical data in collaboration with the Clinical Operations team and external CROs to support clinical trial development.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Take2 is IMMEDIATELY HIRING a 100% remote Data Quality Assurance Engineer for our client. Hands-on Testing experience with DataBricks using Spark SQL or Databricks API, parquet files and Data Lake.
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Title: data reconciliation in New Orleans, Brooklyn-center, Minnesota
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