1 to 25 of 480 Use Case Jobs

Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of more »

target applications (such as energy portals, monitoring systems, etc.). It organizes data flows and ensures data integrity, enabling users to implement IoT use cases in critical and non-critical infrastructure, buildings, or areas. The external is needed for the following task: - independent development of IoT application services … in the field of DevOps in the cloud with GitLab, Docker, Terraform and Azure - Good knowledge in using the logging framework Splunk - Confident use of project collaboration tools such as Atlassian Confluence, Jira, Microsoft Teams and Mattermost Details: - Start: June 2024 - End: 31.12.2024 (+extension) - Capacity: 60 - 100 % - Location more »

commercial/3rd party SOC. We're looking to find senior SOC people, with experience in MS Sentinel, Defender, SOAR and automation, SIEM Use cases building, working with MDR and more. You'll be able to take advantage of excellent pkg and conditions like: Hybrid work for a … a CV At least 5 years of Cyber/SOC/Defensive security and hands on. MS Sentinel and Defender, MS stack SIEM use cases Azure, MS Inf and scripting and automation skills, KQL, Python, Architecture of feeds/logs, SOAR Some strong t3/Incident response experience more »

engagements in parallel. Collaborate with core, technology and software teams to optimize the end-to-end platform solutions Participate in identifying the key use cases and workloads showcasing the best of Arm IP/platform Work with engineering teams across Arm to coordinate on-time delivery of Arm more »

cell and memory library selection, voltage and power domain partitioning. Shown experience driving multiple projects and supporting junior engineers. Good knowledge of software use-cases and workloads and how they affect the hardware design power. Good understanding of ASIC physical design flows and simulation/emulation flows. "Nice … and techniques, including clock and power gating, voltage/frequency scaling, memory/logic retention. Python for automation and modeling. SoC use-case power budget decomposition to IP power budget. Development of SoC benchmarks for power and performance analysis. Experience with correlation between pre and post silicon more »

analysis. Analysis engineers collaborate with multiple teams from SoC Architecture, Performance Analysis, Microarchitecture Design, to Physical design to develop and analyze real software use-cases and the physical hardware. Building relevant metrics along with visualization to demonstrate the hardware power signature and capabilities of the compute subsystems. Reviewing more »

analysis. Analysis engineers collaborate with multiple teams from SoC Architecture, Performance Analysis, Microarchitecture Design, to Physical design to develop and analyze real software use-cases and the physical hardware. Building relevant metrics along with visualization to demonstrate the hardware power signature and capabilities of the compute subsystems. Reviewing more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

to stakeholders across the organization, including non-technical audiences. Advocate for the importance and value of data-driven decision making. Manage use case design and build teams on day-to-day basis, providing guidance and feedback as they develop and operationalize data science models and algorithms to … solve complex business problems. Ensure analytical insights and products are embedded into business processes. Ensure use case models/analytics are supported, maintained, and improved (as needed) post-development and launch. Guide and sign off on analytics/modelling approach, model deployment requirements, and quality assurance standards … with input from use case teams and business leadership. Provide input to the long/term plan for TFGs Data Science team, including key focus areas, talent acquisition, input to technology platforms, and interaction model with the rest of the organization. Foster a culture of innovation and more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »

able to work in a federated team environment, advising on best practice architectural patterns & balancing the needs of individual data analytics & machine learning use cases against overall enterprise architecture principles in architecting & building the data/machine learning platform. The ideal candidate should have strong knowledge of computer … integrating new components to existing cross-functional tech platforms used for Trailblazer Build & maintain a core data platform with high automation & ease of use by data scientists & engineers within each business unit. Responsibly receive, transmit, and handle consumer and customer data per applicable policies and procedures. Review and … toolchain. Ensure the Data/ML platform is fault-tolerant, highly available, follow 12-factor app standards where possible, and efficiently and effectively use computing resources. QUALIFICATIONS Requires a bachelor's degree in computer science from a four-year college or university with 8 plus years of experience more »