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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.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Proficiency in data visualization tools (e.g., Looker Studio, Tableau, Domo) and Excel. Utilize data visualization tools to create dashboards and presentations for stakeholders.
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Familiarity with data visualization best practices and UI/UX design principles. Bachelor's degree in data and Analytics, Economics, Computer Science, or related field. As a Power BI Developer, you will be responsible for designing, developing, and maintaining business intelligence solutions using Microsoft Power BI. A successful candidate will work closely with stakeholders to understand business requirements, create interactive and insightful reports and dashboards, and contribute to data-driven decision-making within the organization.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. As an Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Bachelor’s degree in Electrical Engineering or related Science, Technology, Engineering and Mathematics (STEM) major. Designs are implemented using VHDL and support the following type of applications: gigabit serial interfaces, Radio Frequency (RF) and Electro-Optical (EO) Digital Signal Processing (DSP), control loops, data links, embedded processing, and processor interfaces.
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Computer Science, Computer Engineering, Software Engineering, Information Technology, Information Systems, Computer Information Systems, Management Information Systems, Cybersecurity, Network Administration, Information Assurance, Data Analytics, Cloud Administration.
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Mechanical (including, but not limited to, HVAC, computer room air conditioners, chillers, and plumbing) electrical (including, but not limited to, UPS, DC battery systems, PDU, generators, transfer switches, and switchgear), cabling (including, but not limited to, data and voice, broad band), fire detection and suppression, life safety, lighting, temperature control systems, building management systems, and digital systems (including fire alarm, duress, card access, CCTV.
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Founded in 1997, Girlstart's mission is to increase girls' interest and engagement in science, technology, engineering, and math (STEM) through innovative, nationally recognized informal STEM education programs.
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Support the product engineering teams in various capacities (Solution architect/Integration architect/Data architect) by driving complex enterprise solutions, and accelerators, and creating knowledge repositories to improve delivery efficiency.
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In terms of technical knowledge, the ideal candidate will have:Experience with statistical regression and attribution modeling such as MMM, MTAExperience with data processing and visualization tools such as SQL, Palantir, Python, Tableau, PowerBI, Snowflake would be highly helpfulJoining our team comes with amazing perks and benefits.
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Complete understanding of customer SLAs and engineering specific lease obligations to data center operations. Experience with critical infrastructure systems supporting data centers, such as power distribution, airflow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management.
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The Database Platform Engineering team is seeking an experienced Database Engineer with a DBRE-focused background to join its expanding team, which utilizes DevOps/Reliability Engineering philosophies.
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Experience coding in various programming languages (such as R, Python, SQL, or JAVA) to conduct various phases of data science projects. Experience creating and querying different datastores and architectures (such as Sybase, Oracle, and open-source databases) to work with various types of data as part of the data science project.
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To provide additional technical support, as directed, related to engineering data QC and analysis. To provide data, and support, to accounting or other departments where engineering or production data is required.
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data science engineering visualization jobs Title: manager in Dallas, ID, Arizona
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