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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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The minimum qualifications for the Environmental Program Coordinator are graduation with a Bachelor's degree from an accredited college or university with major course work in a field related to Environmental Science, Life Science, Biology, Chemistry, Engineering, Landscape Architecture, Public Administration, Business Administration, Planning, plus six (6) years of experience in a related field.
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Support Enterprise Risk and Compliance global program development in the data science arena. This position is responsible for overseeing the advanced analytics and data science functions developing a deep technical understanding of the way the Enterprise Risk and Compliance programs and systems are designed.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Manage architectural standards for the AWS cloud-based UT Data Hub and Integration Hub. Ensure data management processes meet compliance, quality, and efficiency standards. Knowledge of ETL (Extract, Transform, Load) processes and data integration tools (e.g., Informatica, AWS Glue.
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Utilize Human Capital Management (HCM), people analytics, or enterprise and BI platforms to design, build, test and deploy reports, dashboards, data visualizations, and predictive models based on project requirements.
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You will specialize in building cloud-based data platforms incorporating advanced data engineering, data analytics and artificial intelligence technologies for Renewable Energy clients.
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Maintain a safe work environment and wear appropriate personal protective equipment Requirements: Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements.
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OPEN TO BOTH Medical Lab Technician [2 year MLT degree ] or Medical Lab Scientist / MedicalTechnologist [4 year BS] -Blood Bank experience is preferred-Generalist experience is required-ASCP or AMT preferred but NOT requiredTemp to hire potential Job Duties/Responsibilities: Responsibilities are interchangeable within job titles of medical laboratory scientist (MLS), medical technologist or clinical laboratory scientist.
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. Strong understanding of CAN-SPAM, GDPR, and other relevant data privacy and compliance regulations.
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AMD is seeking a dynamic, high-energy, results-oriented leader for our Global Data Center Portfolio Marketing team to guide our worldwide outbound marketing strategy and programs for AMD's leading and award-winning datacenter solutions.
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and data structures.
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data science jobs Company: Dnv Gl Usa in Rollingwood, TX
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