Senior Principal AI/ML Developer

Overview As a Senior Principal Data Scientist/ML Developer at Autodesk, you will advance data-driven personalization at scale for the B2C business. You’ll lead end-to-end ML initiatives, from ideation to deployment, shaping how customers discover and engage with Autodesk’s platforms. You’ll evangelize best practices, mentor colleagues, and partner with cross‑functional teams on high‑impact programs. This role offers the chance to influence personalization strategies and accelerate experimentation in a fast‑paced, data‑driven environment. Compensation / Benefitshealth and financial benefitstime away and wellnessstock grantscompetitive compensationsalary transparencycomprehensive benefits package Responsibilities Champion a data‑driven culture and shape key data science domains (segmentation, recommendations, forecasting, product analytics, churn insights)Design, prototype, and deploy scalable end‑to‑end ML pipelines for ecommerce personalization at scale Build robust experimentation frameworks to accelerate iteration while maintaining scientific rigor Craft data‑driven narratives and recommendations based on insights from data and models Collaborate with cross‑functional teams to lead large‑scale strategic projects Partner with senior leaders to prioritize projects and promote data‑driven business decisions Mentor junior data scientists/MLE on project planning, technical decisions, and code/document review Key requirements Bachelor in data science, statistics, computer science, a related technical field 10 years leading technical project strategy, ML design, and industrial‑scale ML infrastructure 7 years in design/architecture and software product testing/launch 10+ years of hands‑on data mining and information retrieval Experience in A/B testing and experimental design Strong knowledge of statistics, probability, and financial modeling Ability to translate data insights into business impactstrong communicationmentoring and coachingcross‑functional collaborationmachine learning design, development and deploymentend‑to‑end ML pipelinesA/B testing and experimental design