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Experience with distributed data and computing tools, including Python, Scala, PySpark, Spark, SQL, Hadoop, Databricks Runtime 13.3 LTS, and Spark Livy 3.10 or later. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer (CISO) to ensure that enterprise data and analytics assets are treated as protected assets.
$179,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Oracle careers open the door to global opportunities where work-life balance flourishes. As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems.
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MCSA is required by the Federal Adult Education and Family Literacy Act (AEFLA) to collect and report NRS, CASAS, GED, HISET, and other related data on a regular basis as outlined in the Workforce Innovation and Opportunities Act of 2014 (WIOA.
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Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. What you will do:Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Data Visualization: Use tools like Excel, Tableau, and Power BI to visualize data and present findings. Data Visualization: Extensive experience with data visualization tools like Tableau or Power BI to present findings clearly.
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The Life Science Data Products Commercial team draws upon deep expertise in oncology product commercialization including product strategy, market access, and go to market models with a deep understanding of the use of real-world data across these functions.
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Passport Data Clerk III. Review Passport application data to ensure information is recorded accurately into DOS systems. Perform Quality Control in verifying that application data matches Passport processing data.
$20 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Senior Data Scientist uses Machine Learning, AI, GenAI, mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
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The Sr. Manager of Data Analysis will also partner with the Chief Information Officer and Sr. Director of Business Support Services to review and approve all new projects and process enhancements requested by business stakeholders.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors.
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Demonstrated familiarity with data science, data engineering, and artificial intelligence concepts and algorithms. This role will require a combination of skills and knowledge in systems engineering, data science, and intelligence activities.
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Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture. An Artificial Intelligence/National Defense start-up is searching for Data Scientists to join their team.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data manipulation and visualization packages such as Tableau, Alteryx, Power BI preferred. Collaborate with our FUSE Data Management Team and Navista Regional Operations Managers to collect quality, timely data to measure and drive operational and clinical performance.
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LI#-DP1 Data Scientist (TS/SCI) At least 4 years of professional experience in a Data Scientist position. Some of your responsibilities would include discovering datasets that could help in solution development; curating data, analyzing, and performing quantitative modeling; validating the quality of data, models, and results; deploying and implementing solutions in collaboration with product team; and interacting with the product team on current and upcoming user requirements.
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Title: data Company: Oracle in Pearl Harbor, HI
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