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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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It all started with one big dream, two crazy cousins, and the perfect combination of flour, sugar, and chocolate chips. The very first Crumbl opened in Logan, UT while Sawyer, Crumbl's COO and Co-founder, attended Utah State University (go Aggies.
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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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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Field data acquisition utilizing various geophysical sensors including Metal-Mapper, APEX, UltraTEM, EM61, GPR and Magnetometers.
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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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Call on and secure relationships with senior leadership in Epidemiology, Primary and Secondary Research, Medical Affairs, Value and Evidence, HEOR, Marketing, Brand Management, Product Management, Managed Markets, Market Access, Data Analytics, and other areas within organizations.
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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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Solid knowledge of secondary pharmaceutical data sources (i.e., Symphony, IQVIA, Directly-contracted SP data, MMIT/DRG formulary/market access data, etc. The primary responsibilities for this position include generating highly actionable insights that inform commercial brand strategy through both qualitative and quantitative market research, competitive intelligence, and secondary data analytics.
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Solid Python programming skills and familiarity with the Python data ecosystem and machine learning frameworks like TensorFlow or PyTorch. Utilize your Python programming skills within the Python data ecosystem while working comfortably in a Unix environment.
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Key Person will also need experience with Agile Scrum, MS Azure DevOps, GIT, and in constructing and maintaining information technology documentation including but not limited to technical specifications, data models, system overviews, and user guides.
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Project Management: Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake. Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow.
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Integration: Ensure seamless integration with other SAP modules, such as SAP SD, SAP FICO, and SAP HR, to maintain data consistency. Collaborate with technical teams to facilitate data exchange between systems.
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Familiarity with A/B testing and multivariate testing Strong analytical skills with ability to interpret complex data and provide actionable insights Proficiency in Marketo, Google Analytics, Looker Studio, and Power BI. Knowledge of SQL or other data querying languages.
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Creating Peace of Mind by Pioneering Safety and SecurityRetail Business Analyst – Remote WI or CST or EST Time ZonesRetail Business AnalystThe Retail Business Analyst is responsible for account demand planning & product forecasting, order management, and providing robust data analytics & reporting to ensure account success and decision confidence.
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big data jobs Title: registered Company: Bayada in Oregon, OR
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