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Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud. Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau.
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As a Data Scientist / ML Engineer, you will be the trusted technical ML expert and work with our data engineering team to architect production-grade ML applications on Databricks.
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The Risk Data Science team is looking for a Data Scientist to develop advanced machine learning models, guide measurement, strategy, and data-driven decision making to support various risk and operational areas at SoFi. The Data Scientist will work closely with Risk, Product, Engineering, and Operations teams to design solutions for loss mitigation.
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The Environmental Scientist – Data Specialist will focus on the support of environmental systematic review projects and require an understanding of 1) environmental science and 2) data analysis/management and data visualization.
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Prescient Edge is seeking a Sr. Data Scientist to support a federal government client. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Position Overview We are recruiting for a Data Scientist who will have a diverse range of data-focused skills and experience, both technical and analytical. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Demonstrate the ability to access, trace, analyze, and remediate data issues leveraging SQL and applicable AWS tools such as Athena and Redshift. Develop scripts to extract data in Athena, Timestream and Redshift.
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General Dynamics Information Technology has an immediate opening for a Senior Scientist working at a company facility in Chantilly VA with image data processing experience that is committed to pushing the limits of truly advanced technologies.
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The SDS should have expertise and/or experience in implementing deep learning or artificial intelligence (AI) projects in a High-Performance Computing (HPC) environment; and will be experienced in working with federal government categorical data from flat files, data warehouses, and external/academic sources, and should demonstrate experience as a data scientist and/or machine learning engineer.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer III /Controls Engineer III (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Cyber Investigator [ insider threat, data loss prevention, digital forensics ] – Senior AnalystThe Cyber Investigator provides expert-level contributions to AIG’s Information Security Office by protecting the company’s critical assets from internal threats and reducing overall risk.
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Metric5 is currently seeking a Data Scientist to work within a team providing Data Warehouse and Business Intelligence services to our government customer using Agile scrum processes.
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Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools.
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Far Ridgeline Engagements LLC (a QinetiQ US Company) is seeking an experienced cloud data engineer/developer to help lead a growing team with a US Department of Defense operations support project developing modern, cloud-based solutions to empower customers to securely store and analyze data.
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Title: data scientist Company: Ancestry in Herndon, VA
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