Principal Data Scientist
AutodeskAbout the role
Job Requisition ID #
25WD92236Position Overview
Are you passionate about using AI and data to transform enterprise systems and experiences? Do you thrive at the intersection of technical innovation and business strategy? Autodesk’s Enterprise Systems & Experience (ESE) organization is looking for a Principal Data Scientist to lead the design and implementation of AI-powered data products, with a special focus on Generative AI, multi-agent systems, and agentic workflows.
In this role, you’ll operate as both a hands-on technical leader and a trusted advisor to business stakeholders. You’ll uncover insights from complex, large-scale datasets, build intelligent automation, and develop sustainable data science solutions that directly enhance Autodesk’s employee experience and enterprise efficiency. You will help shape our AI strategy, influence engineering practices, and deliver solutions that connect data, business, and automation.
The ideal candidate is equally comfortable writing production-quality code and telling a compelling business story with data. You’ll work cross-functionally with engineers, service managers, planners, and executives—turning cutting-edge AI advancements into enterprise-ready automation and insights.
Responsibilities
Lead AI & Automation Initiatives
Architect and deliver advanced AI and automation solutions, leveraging GenAI, LLMs, multi-agent frameworks, and agentic workflows
Translate complex business problems into data science approaches, guiding model design, prototyping, and production deployment
Data Products & Insights
Build sustainable data products that drive enterprise decision-making and employee experiences
Define and deliver KPIs, metrics, and dashboards that simplify technology and operations data for business leaders.
Partner with service managers and engineers to embed insights into enterprise workflows
Technical Excellence
Design, train, and deploy ML/AI models in multi-cloud environments (AWS and Azure)
Leverage services such as AWS (S3, Glue, SageMaker, Lambda, Athena) and Azure (Data Factory, Synapse, ML, Cognitive Services)
Optimize workflows for data ingestion, cleaning, transformation, and orchestration across diverse data sources
Proactively refactor and improve existing models and pipelines for performance and efficiency
Leadership & Influence
Guide, mentor, and coach other data scientists in best practices, frameworks, and delivery excellence
Partner closely with business leaders to align AI/ML initiatives with Autodesk’s strategic objectives
Help evolve ESE’s AI, automation, and data science standards, frameworks, and governance practices
Minimum Qualifications
Minimum Masters degree, preferably in Computer Science, Computer Engineering, Artificial Intelligence or related quantitative field, or 8+ years of relevant or equivalent experience
Strong proficiency in Python and modern data science/ML libraries (Pandas, Scikit-learn, PyTorch/TensorFlow, Keras, LangChain, etc.)
Proven expertise in building, deploying, and maintaining ML/AI models in AWS and/or Azure production environments
Hands-on experience with GenAI, LLM fine-tuning, retrieval-augmented generation (RAG), and multi-agent workflows
Solid foundation in statistics, machine learning, and optimization methods.
Proficiency in SQL and relational data modeling
Excellent communication skills—able to explain complex technical concepts to executives and non-technical stakeholders
Preferred Qualifications
Experience developing and deploying AI/ML solutions in enterprise-scale environments
Familiarity with orchestration tools, vector databases, and graph databases for agentic workflows
Demonstrated ability to influence business outcomes with data storytelling and AI strategy
Experience working in Agile/Scrum environments
Adaptable and comfortable with ambiguity, able to operate independently while driving alignment across multiple teams
Track record of mentoring data scientists and elevating team practices
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are
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