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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive. Scheduler Experience: Experience with schedulers like Apache Airflow, Apache Luigi, and Chronos.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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At least two (2) years of experience with Databricks- Expertise in designing and deploying data applications on cloud solutions, such as Azure or AWS- Comprehensive understanding of data management best practices including demonstrated experience with data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching.
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Description CUSTOMER SUCCESS MANAGER - ARCHITECTURE, ENGINEERING & CONSTRUCTIONREMOTE USEGNYTE YOUR CAREER. SPARK YOUR PASSION.Egnyte is a place where we spark opportunities for amazing people.
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Big Plus: Experience with large scale data processing & pipeline orchestration tools like Dataflow, Kubeflow, Airflow, BigQuery and Ray. Experience in large-scale deep learning recommendation model training using parallel computing, distributed training frameworks (e.g., Ray Training, PyTorch Distributed), and efficient utilization of hardware resources is a big plus.
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The ideal candidate will have a strong background in machine learning, data analysis, and a passion for poker. Perform thorough data analysis and experimentation to evaluate the performance of machine learning models and identify areas for improvement.
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The PMO Analyst is an integral member of the KRAFTHEINZ project team, responsible to work with our internal departments and management team as they collect and review data and use findings to optimize processes and develop stronger, more effective business strategies.
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Understanding of architecture patterns, principles, and best practices for Microservices/API, Streaming/Eventing, Integration, High Availability, Cloud, Security, Devops and Data Experience in deploying and supporting web, containerized, and serverless infrastructures.
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Certifications or experience with relevant cloud platforms or data analytics technologies, such as Databricks (Fundamentals, GenAI Fundamentals, AWS Platform Architect, Platform Admin) and AWS (Cloud Practitioner, AI Practitioner, Solutions Architect, DevOps Engineer, Developer)Understanding of cloud data warehousing, ETL, and business intelligence concepts.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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Test, innovate, and build custom solutions with our world-class digital marketing, data science, and big data talent. Very comfortable working in the weeds with data using tools such as Microsoft Excel, SQL, Google Analytics, Looker/Looker Studio, Google Tag Manager, and other common reporting platforms.
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Your Role With Us: The Cardiac Care Clinical Data Abstractor is accountable for supporting excellence in clinical practice within the Cardiovascular Service Line. Key responsibilities include: 1.
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Maintains oversight of environmental testing program, with data review in eBacMap, in coordination with QA Supervisor. Has computer job skills including logging on to systems, ability to communicate by email, ability to compose documents, enter database information, download forms, and preserve/backup important data.
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Analyze LIS data to confirm customer volumes, test menus and validation of project implementation and cost savings results. Collect and analyze before and after data points to ensure cost savings goals are met and customer sign-off in a timely manner.
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