Data Scientist

• 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
• 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
• 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
• 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

Principal Data Scientist

Junior Data Scientist

Data Scientist I, Real World Data Science

Data Scientist II

Data Scientist

Junior Data Scientist