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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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What you will do: The early career Environmental Scientist Environmental Engineer will serve as a key technical resource leading environmental compliance and sampling field activities. We have an excellent opportunity for an early career Environmental Scientist or Environmental Engineer in our Honolulu, HI office.
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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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We are seeking an Environmental Engineer/Scientist to work in our government infrastructure sector in a technical/task management role with highly skilled professionals on diverse project teams in a dynamic environment.
$104,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Mid level Data Scientist (2-3 year experience, remote)Be part of our future! 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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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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Intelligence Data Analyst / Scientist. 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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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.
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The Senior Research Scientist position described here is part of the Pearson Psychometric and Research Services group, which is part of the US School Assessment group and larger Assessment and Qualifications team.
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At least 4 years of professional experience in a Data Scientist position. 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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On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward.
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LI#-DP1 Data Scientist (TS/SCI) 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 scientist Company: Oracle in Pearl City, HI
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