Principal Data Scientist

October 30

🚗 Michigan – Remote

Although this job is listed in Michigan, this company may be open to hiring remote in other states.

💵 $136k - $220k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

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Autodesk

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Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

10,000+ employees

Founded 1982

📱 Media

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Health and financial benefits • Time away and everyday wellness programs