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Proficiency with PySpark, Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.) Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks.
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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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Manage the development and testing activities for the data migration process for S/4 HANA implementations. Strong understanding of Data Migration Methodology (ETL) including profiling, cleansing, and validation activities.
$131,175 - $218,625 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Leverage various coding languages (e.g., Alteryx, VBA, SQL, Python) to develop code, procedures and data pipelines that systematically process, organize, and manage data and resources. The Data Product Manager will be a key resource at Synergie, a technical role supporting the business needs for IT infrastructure, information transmission, reporting and analytics.
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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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Job Title: Data Storyteller Location: Remote Duration: 6 months+ extension Duties: The duties of a Data Storyteller include, but are not limited to: Providing data analysis that can plays a role in making decisions more efficient and scientific based; Design a compelling narrative based on complex data and analytics that help tell your story and influence and inform a particular audience; Design software or algorithms that can be embedded in software/websites.
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The position requires a minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5 years' experience in the job offered or any related occupation, to include, 5 years' experience in a data engineering role; and 5 years' experience working with cloud-based PaaS platforms, including Azure; and 5 years' experience utilizing RDMS tools and languages.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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The Director ofData facilitates the compliant tracking, collection and reporting of allstudent data systems (e.g. SIS, CUR, PEP) and will create Individual Growth Plans(IGP) for every student in the school.
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Proficient in data analytic systems including SPSS, SAS, STATA, Microsoft, R, and/or Tableau. Summary The Senior Data Analyst at the Cowen Institute is responsible for overseeing and conducting data analysis, producing publications and data visualizations, and tracking policies on the K-12 public education system, postsecondary education, and youth outcomes.
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This individual will be responsible for collecting, analyzing, and interpreting public health data, managing data and data systems, and conducting ongoing research and program evaluation.
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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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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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Title: data Company: Dhl Supply Chain in New Orleans, Brooklyn-center, Minnesota
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