Senior Principal AI/ML Developer

Senior Principal Ai/Ml DeveloperAt GET (Growth Experience Technology), we fuel sustainable growth by rethinking how customers discover, buy, and use Autodesk. Our focus is creating a seamless, data-driven experience that feels simple, predictable, and tailored to customer needs—while also making it easier and more efficient for our teams to support them. To get there, we're building smarter digital experiences, strengthening our platforms, and making our sales and marketing efforts much more efficient and connected. While the product experience will play a key role, a real unlock will come from the technologies that power better customer insights, more personalized engagement, and faster sales cycles.Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer to drive data-informed decisions for Autodesk B2C business. You will play a critical role in helping Autodesk build the eCommerce platforms of the future. Data Scientists/MLE are both data/research scientists and software developers, who develop and implement machine learning models and algorithms. Unlike other companies that separate these roles, our Data Scientists work on projects from ideation to implementation. As a Senior Principal Data Scientist at Autodesk, you will be responsible for the development and training of cutting-edge machine learning models and algorithms that can effectively leverage our users' platform activities and industry trends to create personalized recommendations that are delivered to our users at the optimal moment.ResponsibilitiesAct as a champion for a data-driven culture, evangelizing best practices and shape the direction of key data science areas - segmentation, recommendation systems, forecasting, product analytics, churn prediction and insightsIdentify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk's eCommerce personalization at scaleDevelop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of personalization modelsCraft compelling Stories and make logical recommendations based on insights of data and ML modelsPartner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the companyAct as a thought partner to senior cross-functional leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goalsMentor and guide junior data scientists/MLE by helping with project planning, technical decisions, and code and document reviewMinimum QualificationsBachelor's degree in data science, statistics, computer science, a related technical field10 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)7 years of experience with design and architecture; and testing/launching software products10+ years of hands-on experience with data mining, and information retrievalExperience in A/B testing and experimental designStrong understanding of statistics, probability, and financial modelingAbility to translate data insights into business impactPreferred QualificationsMS or PhD in a quantitative discipline: data science, statistics, computer science, a related technical field15+ years of hands-on experience in machine learning design, development and deployment, ideally in eCommerce domainHands-on experience with cloud machine learning platform (AWS, Azure) and MLOps best practices