Autodesk's GET (Growth Experience Technology) Team is looking to improve customer experience by creating a seamless, data-driven, and personalized eCommerce platform. This role aims to drive data-informed decisions for the B2C business by developing and implementing machine learning models and algorithms.
Requirements
- 10 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 products
- 10+ years of hands-on experience with data mining, and information retrieval
- Experience in A/B testing and experimental design
- Strong understanding of statistics, probability, and financial modeling
- Ability to translate data insights into business impact
- 15+ years of hands-on experience in machine learning design, development and deployment, ideally in eCommerce domain
- Hands-on experience with cloud machine learning platform (AWS, Azure) and MLOps best practices
Responsibilities
- Act 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 insights
- Expand ML Capabilities – Identify, design, prototype, and build scalable end-to-end ML pipelines that enhance Autodesk’s eCommerce personalization at scale
- Drive Experimentation at Scale – Develop and implement robust experimentation frameworks to increase velocity while maintaining scientific rigor, enabling rapid iteration and deployment of personalization models
- Craft compelling Stories and make logical recommendations based on insights of data and ML models
- Partner with cross-functional teams to initiate, lead and drive to completion large-scale/complex strategic projects for teams, departments and the company
- Act 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 goals
- Mentor and guide junior data scientists/MLE by helping with project planning, technical decisions, and code and document review
Other
- Bachelor's degree in data science, statistics, computer science, a related technical field
- MS or PhD in a quantitative discipline: data science, statistics, computer science, a related technical field
- This role can be remote within the U.S. or Canada, though San Francisco is the preferred location
- For U.S.-based roles, we expect a starting base salary between $166,600 and $269,500.
