{"schemaVersion":"jobsearcher.job.v1","id":"a57fa8fc67a0e8fb59566e1f","url":"https://jobsearcher.com/jobs/a57fa8fc67a0e8fb59566e1f","canonicalUrl":"https://jobsearcher.com/jobs/a57fa8fc67a0e8fb59566e1f","title":"Advisor, Data Science","description":"Advisor, Data Science – Software Engineering Team, Austin, Texas\r\nJoin us to do the best work of your career and make a profound social impact as an Advisor, Data Science on our Software Engineering Team in Austin, Texas.\r\nWhat you'll achieve\r\nAs a Data Scientist you will be responsible for developing fundamentally new approaches to generating meaning and value from internal data technologies, often working closely with leading academics and industry experts. You will develop new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets, and work with engineers to create new tools and features that support sophisticated analytics within the database. You will also seek to understand our customers' most urgent questions and use statistical methods and models to provide answers, either as part of pre-sales proofs-of-concept or as a paid engagement.\r\nYou will\r\nInteract with business leaders to understand business strategy, conditions, and problem areas, and contribute to business strategy by influencing decision-making based on deep-dive analysis\r\nProduce actionable and compelling recommendations by interpreting, exploring, identifying, and communicating insights discovered from complex data sets\r\nPartner with both internal and external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights\r\nDesign, develop, and program methods, processes, and systems to consolidate and analyze unstructured data to generate actionable insights and solutions\r\nDevelop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources, and construct predictive models, algorithms, and probability engines — verifying model and algorithm effectiveness based on actual results\r\nTake the first step towards your dream career\r\nEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:\r\nAdvanced Solution Ownership\r\nLead end-to-end delivery of large, complex, and ambiguous problem areas\r\nGenAI & Agentic Systems (Core Expectation)\r\nDesign and implement advanced Generative AI systems, including:\r\nDevelop agentic systems and orchestration workflows, enabling multi-step reasoning, tool usage, and automation\r\nDefine and implement evaluation, monitoring, and safety guardrails for GenAI systems\r\nDrive innovation through applied research, experimentation, and rapid prototyping\r\nEvaluate emerging techniques and translate them into practical, scalable solutions\r\nSet best practices for effective use of coding-assist tools (e.g., Copilot, LLM-based tools)\r\nReview, validate, and maintain AI-generated code at scale, ensuring:\r\nCorrectness\r\nSecurity\r\nPerformance and scalability\r\nAdvanced Modeling & Analytics\r\nDemonstrated ability to lead the development of end-to-end AI/ML solutions, leveraging statistical modeling, machine learning, deep learning, optimization, forecasting, and anomaly detection techniques to solve complex business problems.\r\nStrong experience working with large-scale datasets using distributed computing frameworks such as Spark and Dask.\r\nBachelor's/Master's (or higher) degree in Statistics, Computer Science, Engineering, Mathematics, or related field.\r\n5–8+ years of experience in data science, machine learning, or applied AI or PhD in related field.\r\nHands-on experience with:\r\nLLM platforms (e.g., Azure OpenAI, open-source models)\r\nAgent frameworks (LangChain, Semantic Kernel, or equivalent)\r\nVector databases and retrieval systems\r\nOptimization solvers, simulation tools, or causal inference frameworks\r\nCompensation\r\nDell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $130,400 to $179,300.\r\nBenefits\r\nAward winning financial wellness tools and resources\r\nGenerous leave of absence for new parents and caregivers\r\nJob Info\r\nJob Identification 293997\r\nJob Category Data Science\r\nJob Schedule Full time\r\nLocation 701 E. Parmer Lane, Austin, TX, 78753, US\r\nTotal Compensation Range USD 138,550 - USD 179,300\r\nJ-18808-Ljbffr","company":"Dell","rawCompany":"dell","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-04T02:42:45.017Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Advisor, Data Science","description":"Advisor, Data Science – Software Engineering Team, Austin, Texas\r\nJoin us to do the best work of your career and make a profound social impact as an Advisor, Data Science on our Software Engineering Team in Austin, Texas.\r\nWhat you'll achieve\r\nAs a Data Scientist you will be responsible for developing fundamentally new approaches to generating meaning and value from internal data technologies, often working closely with leading academics and industry experts. You will develop new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets, and work with engineers to create new tools and features that support sophisticated analytics within the database. You will also seek to understand our customers' most urgent questions and use statistical methods and models to provide answers, either as part of pre-sales proofs-of-concept or as a paid engagement.\r\nYou will\r\nInteract with business leaders to understand business strategy, conditions, and problem areas, and contribute to business strategy by influencing decision-making based on deep-dive analysis\r\nProduce actionable and compelling recommendations by interpreting, exploring, identifying, and communicating insights discovered from complex data sets\r\nPartner with both internal and external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights\r\nDesign, develop, and program methods, processes, and systems to consolidate and analyze unstructured data to generate actionable insights and solutions\r\nDevelop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources, and construct predictive models, algorithms, and probability engines — verifying model and algorithm effectiveness based on actual results\r\nTake the first step towards your dream career\r\nEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:\r\nAdvanced Solution Ownership\r\nLead end-to-end delivery of large, complex, and ambiguous problem areas\r\nGenAI & Agentic Systems (Core Expectation)\r\nDesign and implement advanced Generative AI systems, including:\r\nDevelop agentic systems and orchestration workflows, enabling multi-step reasoning, tool usage, and automation\r\nDefine and implement evaluation, monitoring, and safety guardrails for GenAI systems\r\nDrive innovation through applied research, experimentation, and rapid prototyping\r\nEvaluate emerging techniques and translate them into practical, scalable solutions\r\nSet best practices for effective use of coding-assist tools (e.g., Copilot, LLM-based tools)\r\nReview, validate, and maintain AI-generated code at scale, ensuring:\r\nCorrectness\r\nSecurity\r\nPerformance and scalability\r\nAdvanced Modeling & Analytics\r\nDemonstrated ability to lead the development of end-to-end AI/ML solutions, leveraging statistical modeling, machine learning, deep learning, optimization, forecasting, and anomaly detection techniques to solve complex business problems.\r\nStrong experience working with large-scale datasets using distributed computing frameworks such as Spark and Dask.\r\nBachelor's/Master's (or higher) degree in Statistics, Computer Science, Engineering, Mathematics, or related field.\r\n5–8+ years of experience in data science, machine learning, or applied AI or PhD in related field.\r\nHands-on experience with:\r\nLLM platforms (e.g., Azure OpenAI, open-source models)\r\nAgent frameworks (LangChain, Semantic Kernel, or equivalent)\r\nVector databases and retrieval systems\r\nOptimization solvers, simulation tools, or causal inference frameworks\r\nCompensation\r\nDell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $130,400 to $179,300.\r\nBenefits\r\nAward winning financial wellness tools and resources\r\nGenerous leave of absence for new parents and caregivers\r\nJob Info\r\nJob Identification 293997\r\nJob Category Data Science\r\nJob Schedule Full time\r\nLocation 701 E. Parmer Lane, Austin, TX, 78753, US\r\nTotal Compensation Range USD 138,550 - USD 179,300\r\nJ-18808-Ljbffr","datePosted":"2026-07-04T02:42:45.017Z","dateModified":"2026-07-04T02:42:45.017Z","hiringOrganization":{"@type":"Organization","name":"Dell","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a57fa8fc67a0e8fb59566e1f"},"url":"https://jobsearcher.com/jobs/a57fa8fc67a0e8fb59566e1f"}}