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Responsibilities include teaching undergraduate and graduate computer science and data science courses; implementing inclusive and evidence-based teaching and learning approaches to ensure the academic success of a diverse population of students; advising senior capstone projects; collaborating with faculty to enhance curriculum; providing academic advising; participating in university service activities; and actively engaging in university diversity, equity and inclusion initiatives.
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O 3 Areas of focus- Could be either Data Visualization, Data Warehousing or Data Science background o For Data visualization- demonstrated experience with data visualization tools such as BOBJ, Tableau, or Power BI. o For Data Warehousing- experience with data warehousing technologies, including Informatica, Snowflake, or Databricks.
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2+ years of experience utilizing Data Engineering/Cloud tools including GCP, Databricks or Snowflake. Bachelors Degree Required with majors in Biomedical Science, Computer Science, Mathematics, Engineering or business-related field preferred.
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If your background is in Computer Science and Engineering, Data Analytics, Statistics, Biostatistics, Mathematics, Operations Research, Machine Learning, Management Information Systems, or Security Information Systems , learn more about CRA.
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Advanced degree in Public Health, Population Studies, Epidemiology, Statistics, Computer Science, Engineering, Mathematics, or related quantitative field is preferred Experience delivering patient insights and related models, particularly applying advanced statistical techniques.
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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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We are particularly interested in candidates in the areas of Artificial Intelligence (including Machine Learning, Natural Language Processing, Computer Vision, and Knowledge Engineering), Data Mining and Analytics, Cybersecurity, Human Centered Computing (including Information Visualization, Human Computer Interaction, Social Computing, Pervasive & Ubiquitous Computing), Network Science, Cloud Computing, and Information System Design.
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Bachelor's Degree in Geology, Environmental Science or Environmental Engineering from an ABET-accredited program. The Columbia, SC office of Schnabel Engineering is seeking a senior staff level Geologist, Environmental Scientist or Environmental Engineer to join our environmental department and growing practice.
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Bachelor of Science/ Bachelor of Technology/ Bachelor of Engineering, with a concentration in computer science, information systems, information security, math, decision sciences, risk management, engineering (mechanical, electrical, industrial) or other business/technology disciplines or equivalent work experience.
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Bachelor of Science degree in Computer Engineering, Computer Science, Applied Science, Electrical Engineering, or Math. Release Train Engineer responsible for leading HR, Payroll, Workforce Management, and/or Real Estate programs within the ATS Corporate Systems organization.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
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Ph. D. in Biomechanics, Bioengineering, Biomedical Engineering, Mechanical Engineering, Kinesiology, Movement Science, Physical Therapy, or a related field. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world.
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You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
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Data analysis,data governance,Data Security,data science,azure,Microsoft Azure,Azure Data Lake,Dynamics 365. data analysis, data governance, Data Security, data science, azure, Microsoft Azure, Azure Data Lake, Dynamics 365.
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Experience Required As a Staff Data Engineer, candidate will be part of a Data Engineering team that is focused on making critical data at National Grid available to our business teams.
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data science engineering jobs Company: Capitalg Management Company Llc
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