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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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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 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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Wolters Kluwer Tax & Accounting North America is looking for a Sr. Field Sales Manager to join our Research & Learning team in a remote home office in the Northeast! As a Sr. Field Sales Manager for Wolters Kluwer Research & Learning, you will have primary responsibility for driving profitable sales growth in assigned accounting firms within a geographic territory that meets or exceeds sales goals.
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Programming language proficiency in Python, etcExperience in Big data technologies such as Spark and familiarity with advanced analytics and machine learning conceptsAdvanced understanding of data normalization and denormalization techniques.
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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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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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Responsible for ongoing learning needs analysis resulting in the design and development of role-specific and site-specific learning strategies for a Georgia Pacific manufacturing business unit in tandem with local leadership and site learning and development team members.
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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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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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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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To support compliance with federal and state regulations and Thrasio internal policies, the Senior Benefits & Leave Specialist audits employee data and performs reporting. Support external relationships with vendors for employment verification, and local/state unemployment bureau(s); conduct audits of HRIS, payroll, and benefits data, updating information or recommending corrective action to Benefits or Finance functions when necessary.
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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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Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner.
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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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