Procore's People Analytics team needs a People Data Scientist to solve complex people problems through advanced data analysis, statistical modeling, and machine learning, with a key focus on optimizing hiring strategies and improving quality of hire through predictive modeling and deep insights.
Requirements
- 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
- Conduct advanced data analysis using leading statistical methods and predictive modeling to identify trends, uncover insights, and make recommendations across the employee lifecycle.
- Apply your 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 that will raise the bar for all things people-related.
- 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.
- Collaborate with cross-functional teams, including HRIS, IT, and Finance, to ensure data availability, accuracy, and alignment for analysis.
Other
- 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.
- Demonstrate exceptional judgment and discretion when dealing with highly sensitive people data, acting as a steward for data ethics.
- 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.
- 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.
