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Write Rust code, that's sophisticated, fast, and readable for complex, data science infrastructure. Bachelor's Degree in Computer Science, Data Science or similar major.
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Exposure to the data science process and tech stack. Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products.
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Codebases and/or data science and analytics using Python. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world-class research institutions, and leading autonomous driving companies.
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BlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Qualitative understanding of various techniques common in robotics / autonomous systems.
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Master's degree in Computer Science, Engineering or a related field - 5+ years of experience in a DevOps/SRE role - Strong experience with cloud computing and highly available distributed systems - Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations.
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Operations (50%) - Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads - Make sure our platform, inference and model training environments are always highly available and enable seamless replication of work environments across several HPC clusters - Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.
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Innovative Product: SnapLogic is the only company to provide a single, unified platform for all of a company's integration and automation needs: application integration, data integration, API management, B2B integration, and data engineering.
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University degree in Computer Science, Computer Engineering, Management Information Systems or related technical degree is preferred. SnapLogic is a leader in enterprise automation, providing intelligent integration solutions that empower organizations to connect their data, applications, and processes efficiently.
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We aim to bring curiosity and empathy to every customer engagement, learning about how customers get value from Open-Source Data Science. Post-sales engineering calls where you'll discuss potential server configurations and architectures with customers, help customers through the installation process, and share best practices and workflows for doing data science in R and Python using Posit's Pro Products.
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Our teams are contributing to next generation autonomy and ADAS active safety systems through core algorithms, data-driven approaches, and efficient architectures. You possess an M.S., Ph. D., or equivalent, in Robotics, Control, Computer Science, Applied Mathematics, or other quantitative fields.
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Solutions Engineers help our customers IT/Admins determine the best product architecture for them, which requires they speak knowledgeably about integrations to other data (science) tools and platforms, and how to get things done on Linux servers including system administration, authentication, networking, and virtualization.
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You have strong R&D potential in algorithm design, data-driven approaches to safety, and large-scale systems architecture. Incorporate data-driven approaches to improve system performance and unlock new capabilities for safety or peace of mind.
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Academic expertise in Education, History, Geography, Political Science, Criminal Justice, Social Sciences, or the Humanities. Data Analysis You'll meet weekly with your principal and/or instructional coach to analyze and respond to trends in student work samples and assessments.
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B.S. degree in engineering (geotechnical, environmental geological), environmental science, geology, hydrogeology, or other related discipline. Conduct/lead and support management of routine data collection, synthesis, and analysis using approved procedures appropriate for the hydrogeology discipline.
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The Client Success team works across the organization, teaming with the enterprise sales team in the market along with internal product development and data science teams. 5+ years sales engineering, client success, account management, client training or equivalent experience, preferably with SaaS or data-driven product company.
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data science jobs in Rochester, KY, Ohio
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