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3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Inclusively is partnering with a multinational financial services company to hire a Data Science Associate.
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Learn more at Johnson & Johnson Innovative Medicine Technology (IMT), the Enterprise Technology group supporting all business functions under Johnson & Johnson is currently recruiting for Data Engineer, Technology Product Management within our Global Commercial Data Science JJIM Commercial Pharma business.
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Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Tasks may include basic assistance with the research, concept development, design, and optimal integration of intelligent technologies using a structured cable plant, serving building capabilities including data networks, access control, video surveillance, audiovisual systems, and smart building systems.
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Architect, design and implement unified data access for various personas like data engineer, data analyst, data steward by simplified access control mechanism which supports governance on AWS and non-AWS assets.
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Position Overview & ScopeSecures premises and personnel by patrolling property; monitoring surveillance equipment; inspecting buildings, equipment, and access points; permitting entry. Ability to provide reliable transportation (or access public transportation) to consistently get to and from work on time is required.
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Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools. 10+ years of experience in data engineering, data science, and software engineering.
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Morgan, Lewis & Bockius LLP, one of the world’s leading global law firms with more than 4,000 lawyers and staff in 30 offices is seeking a Data Engineer, Data Science to work closely with the team to construct and maintain technical platforms that efficiently collect, manage, and transform raw case data into actionable insights for legal teams and business analysts.
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BS in Medical Technology, Clinical Laboratory Science or a chemical, physical, or biological science degree. Demonstrate proper infection control practices, proper patient identification, performs proper prompt specimen transport.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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Monitor and execute Joint Commission infection control and environment of care requirements. Celebrating authenticity, originality, equity, inclusion and a little “come on in” attitude is the foundation of LCMC Health’s culture of everyday extraordinaryAbout University Medical CenterUniversity Medical Center, a world class academic medical center in LCMC Health’s incredible community of care, is the largest medical training center for healthcare professionals in Louisiana and has long served as the region’s safety net hospital for poor and underserved communities for.
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If you are a diligent and committed student looking to gain practical experience in the field of data analysis and automation in polymer science, we encourage you to apply. The student will implement Python and other programming languages (e.g., MATLAB, R) to prepare and analyze data generated from several characterization techniques, such as differential scanning calorimetry (DSC), thermomechanical analysis (TMA), dynamic mechanical analysis (DMA), and mechanical testing.
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Additional duties are to provide system administration tasks for all DCIM systems which are comprised of EPMS’s, BMS’s (Building Automation Systems) and SCADA (Supervisory Control and Data Acquisition Systems.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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data science access control jobs Company: Verizon in Danbury, Connecticut
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