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Advisor, Data Science

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DellAustin, TXL6 LeadJuly 4th, 2026

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Advisor, Data Science – Software Engineering Team, Austin, Texas Join 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. What you'll achieve As 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. You will Interact 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 Produce actionable and compelling recommendations by interpreting, exploring, identifying, and communicating insights discovered from complex data sets Partner with both internal and external sources to gather and examine data from disparate sources with the goal of discovering previously hidden insights Design, develop, and program methods, processes, and systems to consolidate and analyze unstructured data to generate actionable insights and solutions Develop 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 Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Advanced Solution Ownership Lead end-to-end delivery of large, complex, and ambiguous problem areas GenAI & Agentic Systems (Core Expectation) Design and implement advanced Generative AI systems, including: Develop agentic systems and orchestration workflows, enabling multi-step reasoning, tool usage, and automation Define and implement evaluation, monitoring, and safety guardrails for GenAI systems Drive innovation through applied research, experimentation, and rapid prototyping Evaluate emerging techniques and translate them into practical, scalable solutions Set best practices for effective use of coding-assist tools (e.g., Copilot, LLM-based tools) Review, validate, and maintain AI-generated code at scale, ensuring: Correctness Security Performance and scalability Advanced Modeling & Analytics Demonstrated 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. Strong experience working with large-scale datasets using distributed computing frameworks such as Spark and Dask. Bachelor's/Master's (or higher) degree in Statistics, Computer Science, Engineering, Mathematics, or related field. 5–8+ years of experience in data science, machine learning, or applied AI or PhD in related field. Hands-on experience with: LLM platforms (e.g., Azure OpenAI, open-source models) Agent frameworks (LangChain, Semantic Kernel, or equivalent) Vector databases and retrieval systems Optimization solvers, simulation tools, or causal inference frameworks Compensation Dell is committed to Fair and Equitable compensation practices. The Base Salary Range for this role is $130,400 to $179,300. Benefits Award winning financial wellness tools and resources Generous leave of absence for new parents and caregivers Job Info Job Identification 293997 Job Category Data Science Job Schedule Full time Location 701 E. Parmer Lane, Austin, TX, 78753, US Total Compensation Range USD 138,550 - USD 179,300 J-18808-Ljbffr