Paylocity Data Scientist Interview Questions + Guide in 2025

Paylocity is a cloud-based software company that specializes in creating customized HR solutions for small to mid-sized organizations, enhancing communication and collaboration in the workplace.

As a Data Scientist at Paylocity, you will be pivotal in developing machine learning-enabled features within the Human Capital Management (HCM) software solutions. Your key responsibilities will include leading the end-to-end development of machine learning models, from data pipeline creation to model deployment and monitoring. You will work collaboratively with product managers and UX designers to identify and implement innovative machine learning use cases that drive significant customer impact.

To excel in this role, you should possess strong technical expertise in analytics, SQL, and machine learning, with a solid background in statistics. Your experience in writing production-grade machine learning models in Python and hands-on familiarity with cloud infrastructure on platforms like AWS, Azure, or GCP are essential. A passion for continuous improvement, exceptional communication skills, and the ability to translate complex data science concepts into actionable business insights will set you apart.

This guide will help you prepare for the interview process by highlighting the skills and experiences that Paylocity values most, giving you a competitive edge as you navigate their selection process.

Typically, interviews at Paylocity vary by role and team, but commonly Data Scientist interviews follow a fairly standardized process across these question topics.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Practice for the Paylocity Data Scientist interview with these recently asked interview questions.