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Educational background and completed coursework should encompass one or more of the following: machine learning, statistical modeling, data analysis, data visualization, artificial intelligence, coding and/or data engineering.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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Experience using a subset of the following: system engineering, hardware and software architecture, distributed system design, data exploitation/mining/fusion algorithms, digital signal processing, image processing, optical systems, command and control systems, numerical analysis, modeling and simulation, relational/object/geographic database technologies, user interfaces, scientific data visualization, web service technologies, and multi-core/GPU/parallel computing.
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Contribution of data visualization and technical writing to scientific reports, manuscripts and regulatory filings supporting Verve’s therapeutic pipeline. Verve is seeking a highly motivated and talented Scientist with experience in implementation, evaluation and application of statistical methods for the analysis of next generation sequencing (NGS) data to join our Computational Biology team.
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Degree: Bachelor’s or Master’s degree in a relevant discipline (e.g., Computer Science, Engineering, Information Systems, Information Technology, Internet of Things, Quantum, Applied Math, Data Sciences, Decision Science, Machine Learning, or other technology majors.
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Doctorate in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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In this senior role, you will be responsible for leading a team of Data Engineers to build and operate our data platform, which includes data ingestion/cleansing/modeling, data visualization / reporting, and ML / data operations.
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Data Visualization – DOMO, Tableau Web Analytics – Google Analytics, Adobe Analytics AdServers – Sizmek Syndicated Measurement: Nielsen, comScore Ad Effectiveness Research: Kantar Millward Brown, Upwave, Lucid, Dynata.
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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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Experience, or desire to learn, data science techniques, including data tidying, scripting in R or Python, and visualization through Excel, Python, R, JavaScript, or Tableau Experience, Google Cloud or desire to learn, web programming, including React, Svelte.
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Knowledgeable in electronic medical records, preferably EPIC. Minimum Qualifications: A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study.
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PNNL's Earth System Science Division enables energy independence and national security through leadership in earth systems science, engineering, and decision analytics. Opportunities are available to participate in teams by contributing to software development, design, and testing, along with data science efforts in data preparation/conditioning, data modeling/analysis, data visualization, and data validation.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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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, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Pursuing a degree in Computer Science, Data Science, Engineering, or similar field. We provide geointelligence through advanced sensing and data analytics to forecast complex system behaviors and operational performance to understand human-natural systems.
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data visualization statistics information systems engineering jobs Company: Guidehouse
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