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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
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Job Description Data Entry Computer Job - Work from Home Part Time Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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Minimum Qualifications – Education and ExperienceBachelor’s degree in a scientific disciplineExperience with some of the following applications: flow cytometry, western blotting, Immunoprecipitation, bioassays, ELISA and IHC/ICC is a big plus.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Seismic’s annual base salary range for this position will vary based on applicant’s location, experience, job level, skills, and abilities as well as internal equity and alignment with market data.
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Advanced experience in data mining, mathematics, statistical analysis, and prediction modeling using AI/ML as well as using programming language (R, Python etc.) Ensures Sony’s data operations and use comply with existing US and Canadian Privacy Legislation and keeps up to date with new and developing legislative changes.
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Provide overall Office 365 security expertise including strong knowledge of Azure Active Directory, Microsoft cloud app security, Azure Information Protection, Data loss prevention, Information Rights Management, Intune (Conditional access/ MDM), single sign-on and multi-factor authentication and related technologies (including Microsoft Enterprise Mobility + Security.
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Ensure proper PLM and CAD data classification, storage, transfer, processing, access provisioning, and maintenance under industry standards including NIST-800 171 and CMMC *Other duties as required in support of the department and the company.
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RWE Clean Energy, LLCFunctional area: Geotechnics Remuneration: ExemptRWE Clean Energy is seeking a Senior GIS Associate who will support the development of a comprehensive renewable energy spatial platform, including cross-team data integrations, data analytics, and support of the overall geospatial strategy.
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Research techniques involve gel electrophoresis, preparation of DNA and RNA, plasmid cloning, preparation of microbial cells, preparation of recombinant media and appropriate growth conditions, tissue culture maintenance and transfection as well as imaging using state of the art microscopy techniques and perform image analysis and data management.
$21.39 - $23.06 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Typically requires 3 – 5+ years of related experience in advanced analytics, big data, relational database structures, research methods, sampling techniques, and system testing. The role requires the ability to bring together disparate datasets to provide data analytics and reporting on agent performance activity.
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Within URAD, the departments of Development, SDSU Alumni, Planned Giving, Special Events, Donor Relations, Marketing and Communications, Financial Management, Data Management, Prospect Research and Management and Operations are making a difference in the lives of SDSU’s 37,000 students.
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big data jobs Company: Teksystems in La Mesa, CA
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