Principal /Staff level Engineer- Machine Learning

Job Requisition ID #

Position Overview 
 

This role can be remote within the U.S. or Canada, though San Francisco is the preferred location 

We’re looking for a seasoned Staff Data Scientist/Machine Learning Engineer 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 engineers, 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 Staff 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. 

 
You will report to a Director of Machine Learning Engineer. 
 

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.  

Minimum Qualifications 

• Bachelor's degree in data science, statistics, computer science, a related technical field 

• 5+ years of hands-on experience in machine learning design, development and deployment. 

• 5+ 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.