People Data Scientist

Overview

Use data science to solve people challenges, especially talent acquisition, at Procore.

Key Responsibilities

• predictive modeling
• data visualization
• statistical analysis
• data engineering
• hiring models
• stakeholder management

Tasks

-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. -Research and implement new technologies and methods across data science, data engineering, and data visualization to continuously improve the team's technical capabilities. -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. -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. -Collaborate with cross-functional teams, including HRIS, IT, and Finance, to ensure data availability, accuracy, and alignment for analysis. -Communicate complex statistical analyses, results, and implications to both technical and non-technical audiences, collaborating with key COEs to intake and manage stakeholder requests.

Requirements

• machine learning
• python
• sql
• databricks
• stats
• 5+ years

What You Bring

-Experience in the end-to-end development of machine learning models, from training to production, using both structured and unstructured data. -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. -A strategic and consultative mindset, with the ability to proactively identify opportunities, frame business questions, and manage projects in a fast-paced environment. -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. -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. -Experience using platforms such as Workday Reporting and Analytics, Workday Prism, and Databricks. -Bachelor’s or Master’s degree in Data Science, Statistics, Industrial-Organizational Psychology, Computer Science, or a related quantitative field, or equivalent experience. -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.

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About Procore Technologies

-The company developed a cloud-based software platform designed to streamline collaboration between stakeholders in the construction industry. -Procore’s platform includes tools for project planning, financial management, quality and safety, and field communication. -The platform’s real-time data updates and mobile accessibility are essential for keeping projects on track, improving efficiency, and reducing costs. -Notable clients include large construction firms and contractors that manage complex and multi-million dollar projects. -Procore continues to innovate in the construction tech space, regularly releasing new features and integrations to enhance project management and workflows.

Sector Specialisms

Security Clearance

-potential background checks for criminal history may affect eligibility for certain duties.