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10+ years of professional experience in data infrastructure (including data warehousing, ETL processes, and scalable data architectures), data engineering, and/or data science roles, with a focus on HR data.
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Streaming & Data publishing tools - HEC, Kafka, DD(Data Distributor), Cassandra, Autosys. Skills: Cobol, DB2, CICS, JCL, VSAM, Git / Code Repository usage, CI/CD, Jenkins Pipeline, JIRA, Agile Methodology, zOS Connect.
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By applying, you consent to your information being transmitted by GenZJobs to the Employer, as data controller, through the Employer’s data processor SonicJobs. Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Mobile and Gen Mobile.
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We are home to the world-renowned Blood Research Institute, we enable life saving gifts from our donors, and provide the science behind the medicine through our diagnostic laboratories. 1-3 years of experience in a health care, science, or funeral home field.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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Appropriately uses HCC principles set forth by Medicare Advantage plans to evaluate use of most specific and accurate codes and understands that the organization's strategic initiatives (financial, statistical, and quality benchmarking) rely on the accuracy and integrity of all data reviewed by them.
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Qualifications Educational requirementsBachelor's degree in one of the following areas: Business Administration, Computer, Science, Computer Science Education, Graphic Design, Fine Arts, Multimedia, Web Development, Mobile Application Development, Curriculum Development and Instruction, Computer Engineering, Business Education, Animation, Adult Education, Information Studies/Technology, Interactive Design, Film/Video Production.
$31.17 - $37.3 an hourPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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EducationSome CollegeCurrently Enrolled in Related Field or Engineering Nearest Major Market: Milwaukee Job Segment: Materials Science, Metallurgy, Entry Level Engineer, Materials Engineer, Facilities, Science, Engineering, Operations.
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Coordinating audit activities by integrating other internal audit subject matter teams (e.g., Business Lines, Technology, Anti-Money Laundering, Model, Risk Management, Data, etc.) Drive automation and data analytics opportunities within their portfolio.
$167,530 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in pursuing and selling systems integration services, particularly those related to Oracle Cloud solutions; notably focused on Core Banking, Finance Modernization, and leveraging OCI to harness data.
$237,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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The Metallurgical Engineer is responsible for developing materials application, forged product and manufacturing related technologies using fundamentals of engineering foundations and material science.
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Ensures adherence to SOX controls, FBAR, FATCA, DODD Frank, including record keeping and data testing as requested. The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. Understanding how to interpret and analyze data related to BMS products, customer preferences, clinical data.
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The AI Architect specializes in designing, developing and implementing end to end data science and ML solutions including Statistical Modeling, Machine Learning, Deep Learning and Generative AI as well as establishing product lifecycle processes like MLOPS and AIOPS. The AI architect will also oversee the technical architecture of AI systems, establishing best practices for model training, deployment, monitoring, and maintenance.
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data science jobs Title: san diego Company: Feed in Milwaukee, WI
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