We’re looking for a Data Science Engineer II to join the Procore AI team. In this role, you’ll help deliver the future of our next-generation insights, recommendations, and automated experience roadmaps, and to enable AI capabilities to everyone in construction on a global platform.

The construction vertical is ripe for technological innovation. Construction impacts the lives of nearly everyone in the world, and yet it’s one of the least digitized industries, not to mention one of the most dangerous. Procore is leading the market with our SaaS construction platform. We build for real people with real experiences, empowering Groundbreakers to develop and transform the communities where we all live.

This position reports into Engineering Manager - Machine Learning, and will be based in our Bay Area office in California US. We’re looking for someone to join us immediately.

What you’ll do:

• Work with large scale structured and unstructured data, design and conduct experiments, and analyze and interpret results for Procore product, business and operational use cases.

• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for data science solutions, drive engineering decisions, and quantify impact.

• Leverage third-party and in-house data science tools & infrastructure to develop reusable, highly differentiating and high-performing data science systems, enable fast and iterative development, low-latency serving and ease of quality upkeep. Example projects include: data platform, model interpretability, hyperparameter optimization, concept drift detection.

What we’re looking for:

• Bachelor or Master Degree in Computer Science, Engineering or related fields.

• 3 to 5 years of relevant experience.

• Strong programming (Python / R / Julia or equivalent) and data engineering skills

• Strong understanding of the data science and machine learning technical ecosystems (e.g., Jupyter, Pandas, Scikit, Tensorflow, Pytorch, MLflow, etc)

• Strong understanding of data science best practices (e.g. experimental design, data cleaning, data visualization, feature engineering, feature/model selection), algorithms and domains (e.g. natural language processing, computer vision, personalization and recommendation, anomaly detection)

• Understanding of CI/CD and infrastructure-as-code.

• Experience with using Large Language Models for building applications is a plus.

Additional Information

Base Pay Range:

This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.

For Los Angeles County (unincorporated) Candidates:

Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.