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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Js Minimum 5 years experience in Software development Desired Skills and Experience Unreal Engine or Unity Python JavaScript (React and Node) Docker, Kubernetes CI/CD, DevOps, and Agile development tools and methodologies Gitlab, Jira, and Confluence Ability to react quickly in a dynamic environment.
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2 years: Experience in Python programming and in the use of Python data analysis packages such as NumPy and Matplotlib. 2 years: Post PhD experience in scientific software development using compiled languages such as FORTRAN and C/C.
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Preferred Skills: Experience with big data technologies (e.g., Ray, Kubernetes, Hadoop, Spark) and data warehousing solutions (e.g., Google Cloud and BigQuery) Experience with photogrammetry Knowledge of DevOps practices and tools (e.g., Jenkins, Git.
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This position will be a key member supporting Ascend Analytics’ Market Intelligence team, which supports all long-term valuation activities at Ascend, working in project finance, utility planning, project development, and market strategy.
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Enhance the usability of digital content based on user needs and student experience. Experience with Photoshop, InDesign, Premiere Pro and other Adobe Creative Suite applications.
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Magnifi is seeking a Staff LLM Data Scientist with Large Language Model (LLM) experience who can work end-to-end, training, and productionalizing models. Magnifi’s free search tool and AI-powered personal investing assistant enable individual investors with varying degrees of investment experience and know-how with investment intelligence that, up to now, has only been offered to professional financial advisors.
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As a Senior DevOps engineer, you will play a crucial role in ensuring the ESP software product teams (primarily focused on the Pattern in-house WIS:dom for big data across weather, energy pricing, and geospatial data.
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Experience working with data visualization and business intelligence tools like Looker. Prior experience building, testing, and deploying data enhancements and database structures for growing companies.
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Our experienced and dedicated research teams collaborate with our partners to design, manage, and execute research programs to rapidly advance programs, starting at any point from early discovery into preclinical development.
$50,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Technical Leadership Timesheet Project Management Budgeting Learning and Development Asset Management Expense Reports Research Organization Skills GIS. E Source leads utilities and cities to a more innovative and sustainable future through predictive data science, market intelligence, consulting, and advisory services.
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The successful candidate should have an advanced degree or equivalent experience in a relevant discipline of engineering or science and a record of outstanding scholarly achievement in space engineering, space science, and/or relevant interdisciplinary research, along with credentials suitable for consideration as a tenured full professor at CU Boulder.
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Additionally, this position will support development of data processing and QA/QC algorithms, monitor data quality, perform manual data review and flagging, and provide support for resolving data quality issues for the eddy covariance and related data products.
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5-years of experience with data warehouse design and development. The Data Warehouse & Integrations Engineer serves as a technical project lead and architect for data collection projects that feed into the data warehouse or real-time business intelligence solutions.
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Experience with statistical analysis tools such as Excel, SQL, Python, R, Stata, and data visualization tools such as Microstrategy or Power BI. Familiar with big data technology such as HIVE, Hadoop, AWS, and other related concepts.
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artificial intelligence research and development big data user experience jobs Title: engineer in Boulder, CO
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