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Develop comprehensive knowledge of TikTok Ads Growth structures and metrics, advocating for changes where needed for product development. - Developing funnels & decomposing metrics variation.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Stay informed and integrate latest statistical modelling, machine learning, deep learning, recommender system and/or artificial intelligence trends to improve and enhance modelling stack and improve business metrics and customer experience.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Own all key Prisma Cloud financial metrics, including ARR, Bookings, Revenue, Margins, Renewal rate, Customer lifetime value, etc. Collaborate cross-functionally (e.g. Theater finance, India COE team, IT, Customer Success, Sales Ops, etc) to continually improve metrics alignment, consistency, data integrity, and automation.
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Model and analyze GPU RAS metrics like Failures in TimeDevelop safety-critical software components to run on NVIDIA GPUs. Participate in testing new and existing resiliency and safety hardware and software features.
$144,000 - $270,250 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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We are looking for a Product Quality Engineer Manager for Data Center products, this is a role with more focus on engineering aspects, you will be responsible for leading and mentoring a team of NPI (New Product Introduction) quality engineers focusing on deep level system and board failure analysis of customer quality complaints, tracking quality metrics.
$160,000 - $253,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Collaborate with data engineering teams to build/maintain reports, dashboards, and metrics to monitor the performance of our products, provide insights and identify new opportunities. Experience with ML and statistical knowledge, fluency in Python, SQL, Scala or other programming languages.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The Data and Machine Learning Innovation (DMLI) team is looking for a passionate Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges.
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Candidate must have good exposure towards methodology changes to achieve targeted PPA metrics for complex designs. Involved in deployment of new technologies on latest EDA versions and enable customers to migrate to newer versions achieving best PPA.
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Review dashboard metrics daily to optimize efficiency and ensure work is completed in accordance with service level agreements (SLAs) Assist with HR projects and initiatives as the need arises; audit SharePoint site to ensure information is current and accessible.
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Actively review Regional Sales team performance metrics Area Sales Director to ensure that the Regional Sales team is executing brand strategies and plans optimally and achieving maximum sales results for assigned geographies.
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Practical hands on experience with:building large-scale, high complexity metrics and monitoring ELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experience Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake.
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Skills with common workplace software (word processor, spreadsheet, presentation software etc) with the ability to create and maintain metrics. Family-building, fertility, adoption and surrogacy benefits.
$88,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Build and develop SaaS metrics: you will continue to refine existing and design new KPIs to make them business relevant and able to analyze the trend, changes versus industry benchmarks. Advanced proficiency in Tableau, Excel and experience with financial systems and data visualization tools (e.g. SFDC, SAP BPC, Tableau, Einstein Analytics.
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Experience with CMOS image sensors, validation, image sensor performance metrics and data analysis. Record of utilizing material characterization techniques for failure analysis and yield enhancement (XTEM, EDX, APT, SIMS, XPS, AES, or other techniques.
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Familiarity with MEMS sensor technologies such as inertial sensor performance metrics, inertial sensor usage and limitations, and system integration are a major plus! You will be expected to identify, create, and document sensing metrics for system applications.
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metrics job Company: Crowdstaffing in Mountain View, CA
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