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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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What You’ll Do: As the Director of Data Engineering at SEON, you will be responsible for the ownership and optimization of the technology teams responsible for Data Engineering, Data Science, Business Intelligence, & our AI/ML technology stack Develop and execute data strategy and architecture to drive business objectives and empower engineering teams and data analysts.
$196,000 - $366,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ACADEMIC CREDENTIALS: BS/BA (MBA preferred): Specialty in Business Information Systems, Supply Chain, Computer Science, Engineering, or a relevant field. Troubleshoot SAP and Product Data Management integration issues with IT team and engineering through alignment with downstream users/systems.
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BA in Computer Science, Software Engineering, Management Information Systems. For positions requiring access to technical data subject to export control regulations, including Export Administration Regulations (EAR), ServiceNow may have to obtain export licensing approval from the U.S. Government for certain individuals.
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Requires a bachelor’s or foreign equivalent degree in computer science, computer information systems, computer engineering, or related field and 6 years of experience in the position offered or 6 years of experience performing object-oriented design.
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QualificationsEducation:Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field. Proficiency in database management systems (e.g., SQL, NoSQL) and data integration platforms.
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Engineering, Computer Science, Information Systems, or Accounting Travelling Requirements. Experience with implementation of IT systems, business processes, reporting and/or IT development - Microsoft Certified MS Dynamics 365 would be an advantage.
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MS or PhD degree (or equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, Robotics, or related field. They will ensure seamless integration between robot data and models such that the robot abstraction API used for planning and controls matches both simulation and hardware across a fleet of dynamic humanoid platforms.
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System Connectivity Support: Supporting interface developers and assisting with system connectivityCloud Migration Experience: RequiredEducation: Bachelor's degree in Computer Science, Information Systems, Engineering, Math, Business, or related scientific/technical discipline.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
$81,000 - $128,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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. Pursuing a degree in Computer Science, Data Science, Engineering, or similar field.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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Accounting, Finance, Management Information Systems, Management Information Systems & Accounting, Computer and Information Science, Computer and Information Science & Accounting, Mathematical Statistics, Statistics, Mathematics, Economics, Economics and Finance, Economics and Finance & Technology, Business Administration/Management, Engineering.
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Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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This role will partner closely with other People Operations, Applied People Science, People Strategy and Execution, and Engineering teams and stakeholders to scale our ability to provide insights on all aspects of the employee experience including employee attraction and selection, performance, growth, engagement, compensation, diversity, retention and people operations.
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