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Customer Service 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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Data entry clerks come from all different backgrounds including, data entry, telemarketing, customer service, sales, clerical, secretary, administrative assistant, warehouse, inventory, receptionist, call center, part-time, retail fields & more.
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Data entry, data review, and GPS use. Working knowledge of sub-meter accuracy GPS technologies and map interpretation skills (e.g., NWI, USGS, aerial photography). Familiarity with Army Corps of Engineers Regional Supplements for the Arid West and Great Plains.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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2+ years of experience as a Product Manager in a modern, data-driven environment or 2+ years of combined Data Engineering, Analytics, Product Management experience. Cross collaborate with Product / Analytics / Engineering / Business Leaders to drive scalable data solutions.
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Description :The Privacy and Data Protection Manager will be responsible for improving the Firm’s Data Loss Prevention (DLP) program, conducting and overseeing data egress investigations, supporting the Firm’s privacy incident and privacy breach response plans, and improving our data protection controls strategies.
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Job Summary : Huitt-Zollars has a great full-time opportunity for an Entry Level Surveyor at our Dallas, Texas office. Entry Level Field Surveyor. Assist with preparing preparation of all data, charts, plots, maps, records, and documents related to surveys.
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Data Scientist II, Department of NeurologyClinical Informatics and Natural Language Processing / Machine LearningWhy UT Southwestern Medical Center? A multi-year Data Scientist position is available in the Department of Neurology and the Clinical Informatics Center at UT Southwestern Medical Center.
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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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Position Responsibilities:Classify aerospace parts, components, tooling, assemblies, and kits under the US Harmonized Tariff Schedule (HTS), Sch B, ECCN, and USML.Lead the classification process (maintaining current master data, Part build process, Chemical Weapons Convention Global controls, Montreal Protocol, Mercury, Biobar, TSCA, FDA, Drug Precursors, Civil Duty Relief Programs, Drawback.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer’s data processor SonicJobs. These providers work in a specialty clinic, and may specialize in Palliative Care, Pulmonary, Infectious Disease, Endocrinology, Gastroenterology, Cardiology, Dermatology, Urology, Nephrology, Neurology, Hematology, Oncology, Allergy and Immunology, Rheumatology or other medical specialty.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Technical Acumen: Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Assemble and analyze Health, Environmental, Safety, Security, Process Safety, Product Stewardship, Medical and Compliance Assurance data to identify appropriate metrics, trends, and exceptions to compete at world class HES&S performance.
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data entry jobs Title: product manager in Dallas, DC, Australia
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