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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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This technology leader will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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Bachelor's degree in Environmental Science, Environmental Engineering, Geology or Hydrogeology; Langan is seeking a Senior Staff Environmental Scientist, Geologist, Engineer or Hydrogeologist to join its collaborative team in Chicago, IL. This individual will serve a key function in providing site exploration activities, including soil borings and monitoring well installations; conducting field tests; collecting field data and samples; monitoring construction sites; and compiling data and preparing reports.
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Proficiency in survey methodology, statistical analysis, and data visualization techniques, with expertise in software tools such as SPSS, SAS, R, or STATA. Innovation: Focus on the development and application of new methodologies, technologies, and techniques to gather data and insights including Machine learning AI, Mobile Optimized Surveys, Gamification, Behavioral economics, real-time feedback, Multimodal surveys, Blockchain technology, Virtual and Augmented reality.
$160,000 - $284,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
$180,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world.
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Specialization in data engineering development using very large data sets (10s of TBs). Collaborate with the VP of Engineering to plan for new features and architect data solutions.
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Center 1 (19052), United States of America, McLean, VirginiaSenior Manager, Data Engineering (Spark, AWS)Do you love building and pioneering in the technology space? The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Undergraduate degree in education, engineering, science, art, museum education or comparable experience and evidence of ongoing professional development. Through our Tinkering Lab exhibit, CCM believes we can foster an excitement for STEM (science, technology, engineering and math) by providing visitors a place of freedom that inspires them to design, build and test using real tools and materials.
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Graduate degree in bioinformatics, computational biology, computer science, computer engineering, statistics, mathematics, or a similar field. This role supports biomedical research projects through the use of state-of-the-art genomic, computational, data science, and machine learning tools to understand immune mechanisms governing lung injury and repair.
$55,128 - $77,525 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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You will be a successful applicant if you have a technical degree such as Chemistry, Chemical Engineering, Biology, Mechanical Engineering, Microbiology, Environmental Science, Paper Science, or Water Resources.
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This role will collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM’s technical capabilities for model development, backtesting and monitoring.
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The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.
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Professional registration as a geologist, engineering geologist, or geological/geotechnical engineer strongly desired. Master’s degree in geology, engineering geology, geologic engineering, geotechnical engineering preferred.
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Play a pivotal role in guiding the strategic direction for ML, NLP, LLM, and algorithm development within a world-class AI ML team, working closely with well-renowned experts in AI/ML modeling, ML engineering, data science, and data engineering.
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big data science engineering jobs Company: Snowflake Computing in Chicago, IL
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