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The Senior AI Engineer will have a strong technical background and demonstrated experiences in Gen AI, Data Science and AI/ML. The ideal candidate will be responsible for delivery of analytical models and AI solutions.
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As a Principle Data Center Engineer you will contribute to multi-disciplinary projects using your engineering expertise. Using advanced techniques like Computational Fluid Dynamics (CFD), you will collaborate closely with our data center design and construction teams as well as internal and external stakeholders, helping to design and efficiently operate OCI and Oracle data centers.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Experience in AWS, Databricks, Python, Airflow, GIT, MuleSoft, Data Management tools and other cloud integration technologies. Experience with data analytics, pharma sales and transactional data, data governance, and stewardship.
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Experience with data integration tools (e.g., Informatica, Talend, Alteryx, SSIS etc) to carry out an ETL (Extract, Transform & Load) to move data from disparate systems to Master Data Management Hub.
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Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence. + Lead data science projects and partner with cross functional teams to deliver end-to-end advanced analytics/machine learning solution.
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The EDC Engineer will work with Data Management and Standards teams to implement new processes as well as enhance existing processes for efficiencies and compliance with Takeda Clinical trial builds.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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Work with project level Construction Managers, QA/QC Site leads and General Contractor's to ensure creation, accuracy and maintenance of logic driven schedule for construction, commissioning, and packaged equipment BMS activities while leveraging this data to identify early finish dates for detailed design document delivery.
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Familiar with Data Science, Machine Learning, Data Analytics, and the relevant technologies that support them. Familiarity with Data Engineering tools such as Spark, Hive, Hadoop, MySQL, Airflow, DynamoDB, EMR, Terraform, Kafka/Kinesis, Presto/Trino, Kubernetes etc.
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Academic or industry experience in collecting and processing of a comprehensive range of land-based near surface geophysical data including seismic, EM, GPR, magnetic, gravity and resistivity for geotechnical and environmental applications.
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Health or data brokering standards (HL7, Remote Procedure Calls, etc.) Master's degree or higher in computer science, electronics engineering, or other engineering or technical discipline is required.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Willamette University is a nationally-renowned private liberal arts university with graduate programs in business, law, data science, and fine arts. Maintain confidentiality and care as a steward of University data.
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Masters degree in Engineering, Computer Science, Electrical Engineering, or Mathematics fields or equivalent relevant work experience. Ormco Director, Software Development - SPARK Manufacturing Software (Remote-Pomona, CA.
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data science jobs Title: data engineer Company: Capital One in Salem, OR
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