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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time. To secure a legitimate work from home data entry position, expertise in that field isn't an absolute must.
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Be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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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. Collaborate with our data engineering team to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks ML offerings.
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At Just Tires, we invest in you and your future by providing excellent training for our technician, sales team and management positions. As an Entry Level Automotive Technician, you will gain hands-on experience in one of Goodyear's Auto Service centers by learning how to perform basic automotive services while delivering outstanding service.
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Data Scientists contribute to projects involving one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Learning, Deep Reinforcement Learning, Physics Inspired ML, Classification Systems, Natural Language Processing, Artificial Intelligence, or Computer Vision.
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Develop and maintain insider threat risk scoring and other data analytics tools for customers to support insider threat detection and data analysis implementations. Educate relevant stakeholders in the theoretical and empirical bases of data science and behavioral science related to the deterrence, detection and mitigation of potential threats by providing or contributing to expert training briefs, presentations and educational courses.
$168,700 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are looking for a Data Scientist with exceptional skill to develop machine learning and deep learning models and algorithms that create useful and actionable insight for customers. 3 or more years of practical working experience in one or more of the following areas: Natural Language Processing, Machine Learning Models, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Data Science, Knowledge Engineering.
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Involvement in AI projects for federal clients, experience with financial compliance tools (e.g., Anti-Money Laundering), and experience in data strategy roles.
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You’ll write scripts, build predictive analytics, automate processes, apply machine learning techniques, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions.
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Ensures accurate order entry of surgical and cytology cases in Laboratory Information Systems and clarifies confusing/incomplete orders. - Supplemental Plans: Including Auto/Home Insurance discounts, Pet Insurance, Identity Theft Protection.
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The Data Scientist will implement quantitative models to analyze credit and prepayment risk, determine the allowance for loan losses, and support financial planning. Jr. Data Scientist (Hybrid.
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As a data architect on our internal IT team, you'll use your extensive technical expertise to lead the design of data architecture solutions that scale to perform in a petabyte-sized Databricks Lakehouse used by key stakeholders across the IT organization.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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data entry home sales jobs Title: data entry in Fairfax, VA
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