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As the Principal Data Engineer in ACE, your role is to help create and communicate the data platform strategic direction, architect tools and platforms for all three ACE departments (Data Engineering, Data Visualization, and Data Science), implement and reinforce best practices, support and advise fellow data professionals, and architect complex data solutions.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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We want Data Science, Machine Learning, Data Analyst, and Java Full Stack candidates. For Data Science/Machine Learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, and data visualization tools.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Cellular 4G/5G Firmware Data Science & Machine Learning Engineer Do you have a passion for invention and self-challenge? Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in a timely manner to automatically tackle the issues or provide recommendations for the next step of solving problems.
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As a Data Center Engineer supporting the Government, you will be a part of a team charged with engineering solutions for lifecycle of data centers, setup & maintenance, electrical, mechanical, fire/life safety etc.
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Expertise in Data Science, ML Ops and ML system design. 10+ years of hands-on experience in building end-to-end systems and in ML Ops, including exploratory data analysis, feature engineering, sampling, model training with ensemble learning and/or deep learning, model validation, testing, serving, deployment and monitoring.
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Required Computing Environment (CE) certification: NetApp Certified Implementation Engineer (NCIP) or NetApp Certified Data Administrator (NCDA); NetApp Certified Support Engineer, or Veeam Certified Architect (VMCA), or Veritas Certified Professional (VCP) - Administration of Veritas NetBackup, or Dell EMC Expert - Implementation Engineer, or HPE ASE - Storage Solutions Architect, or HPE Master ASE - Storage Solutions Architect.
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The ideal candidate has both a theoretical and practical understanding of deep learning techniques and has a proven track record in areas such as clinical research, computational biology, probability, statistics, or data science.
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As a Senior Manager, Supply Chain Data Science, you will report to a Director of Supply Chain and be responsible for using data insights to solve problems facing the supply chain operations in International markets where Walmart Distribution and Fulfillment Centers are located.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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The role of Senior Data Science / Engineer is directly involved in the development and maintenance of the LIMS, pipeline, and assays - with the goal of producing high-quality, analyzable datasets - both reported to the clinical trial teams and used for additional research (bed-to-bench / back-translation) activities to answer our key scientific questions.
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Job Description: Cloud Data Engineer (Hybrid) Primary Duties & Responsibilities Job Summary Experience what being part of the Globe Life family feels like. The Cloud Data Engineer role will support our Cloud Data Management and Advanced Analytics platforms.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We are currently seeking a Data Engineer responsible for the development and implementation of technical solutions. Experience with Azure Databricks for an enterprise Data Lake. Very good working experience of T-SQL. Proficiency in complex stored procedures, User Defined Functions (UDF), and query optimization.
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data engineer science jobs Company: Capital One in Laramie, Wyoming
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