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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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As a Consulting Data Scientist, you will play a crucial role in leveraging data to drive strategic initiatives, improve patient outcomes, enhance operational efficiency and advance healthcare innovation.
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Utilize advanced analytics tools and platforms (e.g., SQL, Python, R, Tableau, BigQuery, AWS Bedrock, etc) for data processing and visualization at scale. Expert proficiency in SQL based data manipulation, analysis tools (e.g., Python, R), ETL processes, and data visualization platforms (e.g., Tableau, Power BI, BigQuery.
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Understanding of the music industry, particularly in the context of streaming platforms, digital music consumption, and music industry data schema. At least 5-7 years of experience with managing and transforming big data in excess of 1 billion rows, data analytics and insights within the music industry, preferably using AI / ML modeling data analysis tools and techniques to drive significant change in an organization.
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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You can proficiently complete data entry into multiple software applications on a smart device, using Microsoft Office and email. S&ME is seeking an eager and dedicated full-time entry-level Construction Materials Engineering Technician to join our Construction Services team in Nashville, Tennessee.
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Develop detailed and accurate SUE CAD plans in alignment with GDOT’s Plan Development Process (PDP) and Electronic Data Guidelines (EDG). The ideal candidate will have experience processing survey data, developing precise SUE CAD plans, and ensuring compliance with GDOT standards.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Experience with market data vendors and platforms - Bloomberg, QADirect, Barclays POINT, Snowflake, etc. The work will include data acquisition, analysis, modeling and aggregation; implementing new market data downloads; portfolio implementation and quantitative model analytics; reporting and developing quality controls with a particular emphasis on automation and repeatability.
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Partner with our People Analytics and Business Partner functions to leverage data and feedback to evolve Employee Relations as needed to enhance the employee experience. This range is representative of NYC Market Data if you are applying to this role outside of the NYC area the range may change.
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The responsibilities include working with Formulation Development, Process Engineers, Analytical Development, Production, Quality, and Regulatory to identify product and process criticalities and finding scientific data driven solutions to any Technology Transfer process.
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Domain knowledge and experience with work flows and pipelines for media production: digital asset management and namespaces, familiarity with 3d frameworks, universal scene description, scene graphs, layers and models, 3d data packaging, rendering work flows, image composition, tools used in the workflow by artists, engineers, editors and content creators is highly desired.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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data entry jobs Company: Pwc in Nashville, Laramie, Wyoming
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