Autodesk is looking to improve its eCommerce platforms by creating a seamless, data-driven experience that feels simple, predictable, and tailored to customer needs, while also making sales and marketing efforts more efficient and connected. This involves building smarter digital experiences, strengthening platforms, and leveraging technologies for better customer insights, personalized engagement, and faster sales cycles.
Requirements
- 7 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).
- 5 years of experience with design and architecture; and testing/launching software products.
- 7+ 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.
- 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
- This role can be remote within the U.S. or Canada, though San Francisco is the preferred location
- 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.
- 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.
