Job Description

Do you consider yourself a Data Science practitioner? Do you get excited about extracting value and meaning out of raw data sets? Do you get excited about applying Data Science to drive business value? Do you have experience in putting Machine Learning models into production? Do you have experience in ML ops or engineering? If so, you might be a good fit for our team. We\xe2\x80\x99re looking for a Staff Data Scientist to join Procore\xe2\x80\x99s growing Data Science team within Data Engineering and Analytics (part of our Data, Technology, and Security organization). This is an exciting opportunity to help us design, develop, and monitor highly visible predictive and prescriptive models that help our business stakeholders make sense of their data and execute it. As a Staff Data Scientist, your models will be deployed at scale to automate decision-making across the Procore business. Your ML products will be key to driving efficient growth and drive impact for subject matter experts, decision-makers, and analysts. This position has the opportunity to be located in any of our US or Canada offices, or based remotely in the US or Canada. What you\xe2\x80\x99ll do:

• Work cross-functionally with a diverse slate of stakeholders to understand the business and technical requirements to define impactful ML solutions
• Apply common ML frameworks and best practices to drive maximum business outcome
• Provide technical leadership for efforts around tooling and infrastructure that enable teams to complete and maintain AI projects efficiently
• Coach and mentor junior data scientists on the team; lead code reviews, provide feedback on technical designs, and define best practices for technical development and implementation
• Collaborate with software engineers to write application code and deploy models to a production environment using our ML platform
• Be a thought partner and design thinker in the evolution of Data Science at Procore

• 8+ years of relevant Data Science experience (6+ years with a master\'s or 3+ years with a Ph.D.)
• Hands-on experience developing and managing predictive models
• Real-world experience in deploying predictive models at scale to production
• Experience with Python and SQL, Statistics, and ML ops or engineering is a plus
• Superior communication skills with the ability to communicate complex mathematical and statistical concepts in simple terms
• Experience in SaaS is preferred