Apple is looking for Data Scientist - Business Process Re-Engineering in Austin, TX.
This local job opportunity with ID 3966490142 is live since 2026-11-13 20:52:59.
Role Number: 200694519Team: Operations and Supply ChainLocation: AustinPosted: 2026-11-11SummaryApple is where extraordinary people do their best work. If making a real impact excites you, a career here might be your dream. Apple's growing supply chain complexity demands innovative approaches beyond traditional analytics. You'll join a team designing and building functional GenAI/LLM-powered applications and agent workflows, alongside modern data science methods, to drive decisions. You're passionate about turning data into impactful insights, staying ahead of technology trends, and thrive navigating ambiguity in a fast-paced environment.DescriptionDesign and architect end-to-end GenAI/LLM-powered applications and agent workflows, adapting and orchestrating pre-trained foundation models, tailored to complex supply chain business problemsEngage with business teams to identify opportunities through conversations and translating requirements into technical solutions to drive critical projectsCollaborate with data engineers and infrastructure partners to integrate LLM APIs and frameworks (e.g., LangChain, LangGraph) and operationalize robust solutionsBuild production quality solutions or enhance and evolve deployed solutions through engineering, evals, monitoring, feedback loops, and iteration to meet changing business needs with agilityPresent key findings to leadership to evaluate business impact, in non-technical termsResearch and evaluate emerging technologies, including GenAI, agentic frameworks, software engineering, and advanced visualization tools, to expand the team's technical capabilities and accelerate innovationChampion a culture of experimentation and continuous learning, bringing innovative and strategic thinking to reporting, business analytics, and AI-powered automationBuild RAG pipelines and vector search capabilities, along with interactive visualizations, including dashboards and self-service tools, to deliver actionable Supply Chain insights at scaleWrangle and analyze data to identify patterns, trends, and feature engineeringDefine and track key performance metrics to quantify the business value of deployed AI solutionsMinimum QualificationsPhD in Computer Science, Computer Software Engineering, Statistics, Applied Math, Data Science, Operations Research or a related field and 5+ years of industry experience OR MS in related field with 8+ years hands-on industry experienceStrong software engineering fundamentals (data structures, algorithms, system design) with production-quality coding in Python and TypeScript/JavaScript and advanced SQL, following best practices in version control (Git), code review, testing, and documentationExperience developing end-to-end applications, including backend services and RESTful APIs (e.g., FastAPI) and interactive front-ends (e.g., React, Streamlit)Proven experience building and deploying production GenAI/LLM-powered applications and machine learning models on cloud platforms (e.g., AWS, GCP, Azure), with MLOps practices, model versioning, CI/CD pipelines, containerization/orchestration (Docker, Kubernetes), and monitoring to deliver scalable, reliable servicesHands-on experience integrating LLM APIs (e.g., OpenAI, Anthropic) and frameworks (e.g., LangChain, LangGraph) to build scalable agentic solutions using MCP servers, agents, and skillsExpertise in software engineering and designing evals to measure LLM output quality, accuracy, and reliabilityStrong background in AIML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and predictive modeling techniques, including classification, regression, clustering, and anomaly detectionDemonstrated experience in forecasting, optimization, or simulation within supply chain or operations domainsProven ability to own projects end-to-end, from scoping and rapid prototyping through deployment and post-launch iteration, while staying current with emerging technologies (e.g., new foundation models, agent frameworks)Preferred QualificationsExperience designing and maintaining scalable data pipelines (ETL/ELT, batch and streaming; e.g., Airflow, Spark, dbt) on cloud data platforms (e.g., Snowflake) and relational databases (e.g., MySQL), with meticulous attention to data quality and integrity, and surfacing insights through BI tools (e.g., Tableau, ThoughtSpot)Experience building Retrieval-Augmented Generation (RAG) and vector search solutions using vector databasesExperience adapting and orchestrating pre-trained foundation models (e.g., tool use, multi-agent orchestration)Exceptional ability to translate complex AI/ML concepts into clear business narratives and influence senior leadership, with strong collaboration skills to partner across functions and integrate diverse feedbackSelf-sufficient, intellectually curious, and biased toward action, thriving amid autonomy, ambiguity, and timeline pressure in a fast-paced, iterative environmentEEO StatementApple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicantAccessibilityAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplaceLearn about reasonable accommodations for job applicantsApplication DeadlineApple accepts applications to this posting on an ongoing basis.
read more
