Principal Data Scientist

Responsibilities

• Design and implement predictive models to analyze and anticipate user behavior, intent, and outcomes across multi-agent workflows
• Define and establish data instrumentation, telemetry, and observability standards for agent-based systems and user interactions
• Develop frameworks and prototypes for analyzing and optimizing non-deterministic user experiences (including user interfaces) driven by AI agents
• Collaborate with product and engineering teams to integrate predictive intelligence into agent orchestration and decision-making systems
• Create analytical models and reporting frameworks to generate business intelligence, forecasting, and performance insights
• Guide experimentation strategies, including A/B testing, causal inference, and evaluation methodologies for agent performance
• Translate ambiguous, early-stage product questions into structured analytical programs with clear hypotheses, methods, and business impact

Requirements

• 8+ years in data science or applied ML, with significant time in product analytics or user behavior modeling
• Deep experience with predictive modeling — classification, survival analysis, sequence models, or LTV/propensity frameworks
• Fluency in designing instrumentation and event schemas for complex, stateful systems
• Demonstrated ability to define metrics and measurement frameworks for new product spaces
• Experience working on or adjacent to AI/ML-powered products — especially those with nondeterministic outputs
• Experience with LLMs and related technologies, including frameworks, embedding models, vector databases, and Retrieval-Augmented Generation (RAG) systems, in production settings
• Deep understanding of data modeling, system architectures, and processing techniques, including 2D/3D geometric data representations
• Proven ability to translate theoretical concepts into practical solutions and prototype implementations
• Excellent technical writing and communication skills for documentation, presentations, and influencing cross-functional teams

Qualifications

• Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Strong programming skills in Python, R, or similar languages
• Experience with machine learning libraries such as TensorFlow, PyTorch, or scikit-learn
• Knowledge of statistical analysis and data mining techniques
• Experience with cloud platforms such as AWS, Azure, or Google Cloud

Skills

• Strong problem-solving and analytical skills
• Ability to work independently and collaboratively
• Excellent communication and presentation skills
• Experience with natural language processing (NLP)
• Understanding of ethical considerations in AI and machine learning

Benefits

Salary transparency
Autodesk offers a competitive compensation package, with a starting base salary between $135,000 and $242,000 for U.S.-based roles. Offers are based on the candidate's experience and geographic location, and may exceed this range.
In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity
At Autodesk, we're committed to creating a diverse and inclusive workplace where everyone can thrive. We consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.

Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging