Procore is seeking to solve complex people-related problems through advanced data analysis and modeling to enhance the employee experience and drive business outcomes, with a specific focus on optimizing hiring strategies and improving quality of hire in a competitive market.
Requirements
- 5+ years of progressive experience in a data science or people analytics role with a strong focus on applying data science to people-related data.
- Proven experience applying advanced statistical methods (e.g., multivariate regression, longitudinal analysis, classification, clustering, NLP) to solve complex business problems.
- Strong technical proficiency with a programming language for large-scale analysis (like Python or R) and using SQL to query relational databases.
- Experience in the end-to-end development of machine learning models, from training to production, using both structured and unstructured data.
- Demonstrated experience or strong interest in applying data science to Talent Acquisition challenges, such as hiring funnel optimization, candidate experience analysis, or predictive workforce planning.
- Experience using platforms such as Workday Reporting and Analytics, Workday Prism, and Databricks.
Responsibilities
- Partner with HR leaders, business stakeholders, and peers in the People Analytics team to translate complex people challenges into data science projects and testable hypotheses.
- Conduct advanced data analysis using leading statistical methods and predictive modeling to identify trends, uncover insights, and make recommendations across the employee lifecycle.
- Apply expertise to key strategic areas, including a close partnership with Talent Acquisition to build models that inform our hiring strategy, from top-of-funnel optimization to quality-of-hire analysis.
- Investigate trends that pose risks to business outcomes or the employee experience, identify behavioral patterns, systematically flag outliers and use data to propose solutions.
- Communicate complex statistical analyses, results, and implications to both technical and non-technical audiences, collaborating with key COEs to intake and manage stakeholder requests.
- Research and implement new technologies and methods across data science, data engineering, and data visualization to continuously improve the team's technical capabilities.
- Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data, acting as a steward for data ethics.
Other
- Bachelor’s or Master’s degree in Data Science, Statistics, Industrial-Organizational Psychology, Computer Science, or a related quantitative field, or equivalent experience.
- Exceptional communication and storytelling skills, with the ability to translate complex data into actionable insights and compelling narratives for diverse audiences.
- A strategic and consultative mindset, with the ability to proactively identify opportunities, frame business questions, and manage projects in a fast-paced environment.
- Collaborate with cross-functional teams, including HRIS, IT, and Finance, to ensure data availability, accuracy, and alignment for analysis.
- Act with discretion when managing, accessing, and handling confidential information, as well as when interacting with internal/external customers, stakeholders, and colleagues.
