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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Senior Exploitation Specialist Data Scientist: Position Responsibilities (O-M): Support NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Partner closely with our Software Engineering and DevOps teams to build scalable and repeatable data apps or ML microservices using Cloud Run, Kubernetes, Dagster and/or other tools and services.
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Fluency with data, analytics and visualization technologies (We use SQL, Tableau, Looker) You will collaborate closely with a wide array of cross-functional partners across Product, Engineering, Design and Data Engineering to drive impact for our users and our business.
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As a staff engineer on our EDA Engineering Team, you will be pivotal in building and supporting significant aspects of our data services and pipelines, that powers the next generation reporting and analytics platform.
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Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad.
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Committed to delivering a Higher Level of Reliability , Acuren provides an unrivaled spectrum of capabilities including inspection, traditional and advanced NDE/NDT, failure analysis, rope access, materials engineering, field engineering, reliability engineering, drones, robotics, V-Deck and condition-based monitoring services.
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Lead the strategy for comprehensive data collection and analysis from this process that will support robust process development and understanding as part of the digital thread for CMCs. This includes establishing methods for data collection, data analysis and data visualization to enable statistical process control (SPC.
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Bachelor's degree in Statistics, Mathematics, Engineering, Economics, Data Mining, Analytics, Computer Science, Finance, or other quantitative field, or equivalent experience. Proficiency with data visualization technologies such as Tableau, Power BI.
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The Data Engineering team is focused on building platforms and capabilities that are utilized across the organization by sales, marketing, engineering, finance, product, and operations.
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Our work is critical to the integrity and safety of industrial firms, including petroleum refinery, pipeline, power generation, pulp & paper, mining, pharmaceutical, aerospace and automotive industries.
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Functional knowledge of data visualization libraries like matplotlib or ggplot2, as well as other tools such as Microsoft Power BI, Quick Sight, or Tableau. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages, and libraries.
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As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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Participate in knowledge discovery in pediatric biomedical research, using analytic and data visualization techniques spanning heterogeneous and complex data types under direct supervision.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc
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