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Data science, machine learning, optimization models, PhD 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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We're looking for a passionate Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products. If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading.
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Experience with data movement and transformation capabilities (Azure Data Factory, Data Lake Analytics, Databricks, Stream Analytics, and Azure Functions). Strong development background creating data pipelines and complex data transformations using one of the languages like Python, Databricks/Spark, T-SQL.
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Knowledge in DAX / data modeling with Microsoft Power BI, Power Pivot and/or SSAS Tabular. Support the team to design, implement and maintain complex BI solutions including data models in Microsoft SSAS, Excel Power Pivot, Power BI and Snowflake, create and maintain reporting tools, troubleshoot improvement opportunities, and process change request as needed.
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Ability to build Azure cloud data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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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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Data Management concepts and standards (SQL Server, Oracle, Cloud, Snowflake, Azure, etc.) Participate and represent in detailed architectural discussions with the Global Data team to build confidence and ensure customer success when building new solutions and migrating legacy data within the Azure Data Lake platform.
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We are seeking a dedicated and detail-oriented Junior Networking Technician to join our team in Sherman, TX. The primary responsibility of this role is the preparation and verification of data cables within a large warehouse setting, utilizing tools such as the Fluke Pen Tester.
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Perform wellfield valve/vacuum adjustments, data collection and maintenance; interpret data. Collect and manage data entry from wellfield extraction and environmental monitoring locations.
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Under general direction of the GIS Manager, the GIS Analyst develops, maintains and updates various data layers, and databases in the Town's geographic information system, prepares maps and projects as directed.
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Note: This home based data entry role is designed for earning additional income and should not be viewed as a full-time position. Home Based Data Entry. Note: This home based data entry role is designed for earning additional income and should not be viewed as a full-time position.
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Experience in testing informatica MDM auto and manual match and merge data activities and data validation. Target for an MDM (master data management) project. Experience in working with business partners and data stewards for all MDM and data governance related activities.
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Knowledge of SQL, reporting tools, SalesForce.com, Data Warehousing, Power BI, and/or Birst strongly preferred. Experience working with data extraction tools through ERP platforms (e.g., Oracle, SAP, BaaN, etc.
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Interpret soil, bedrock and groundwater elevation and quality data. General Responsibilities: Evaluate and interpret subsurface field and sampling data including soil and groundwater to develop conclusions concerning the environmental and geologic site conditions.
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Provides data consulting in support of both business byimproving sales performance, go-to-market (GTM) strategies, Master Data Management, and KPI management. Performs data analysis to solve business problems or service requests using SQL, Excel and similar tools.
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data job in Lake Dallas, TX
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