Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture.
While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce.
We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business.
Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience.
This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements.? You must be available five days per week during designated work hours.? The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements or schedule expectations, as necessary.?
Position Title: Manager Data Science
Position Overview
The Paylocity Data Science team is focused on building machine learning enabled features as part of Paylocity's HCM software solutions that deliver key insights and automation for our customers.
Our team is:
Applying cutting edge NLP models to help employers gauge the sentiment in their organization, increase cross-team collaboration, and understand the employee voice
Building and deploying platform-wide recommendations to help companies follow HR best practices and allow employees to get the most out of our platform (Paylocity AI page (https://www.paylocity.com/products/capabilities/ai/) )
Baking AI Ethics into all of our processes as a first-class citizen (https://medium.com/paylocityprodtech/embedding-ethics-in-ai-cdb381c039ad)
Working in a collaborative remote environment with a desire to share ideas and continuously improve
Invested in staying current in data science by applying the newest tools, technologies, and practices
Excited to work on cutting-edge technology!
Primary Responsibilities
The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
The Data Science Manager is a critical role in our Product and Technology organization. This role requires strong technical expertise as well as solid people and project management experience. This leader will help the team deliver customer-facing features to achieve business outcomes and coach team members to fulfill career goals. This position requires commitment to exceptional results, a strong desire for continuous improvement, and the ability to build a collaborative culture within the team.
A Data Science Manager will be expected to:
Independently lead a data science team in the development and enhancement of our machine learning solutions that impact millions of employees every day
Help build end-to-end ML solutions, from infrastructure and data pipelines to model deployment and monitoring. Our data science teams own the entire solution from start to finish
Work closely with product managers and UX designers to brainstorm new machine learning use cases and take them from ideation to implementation
Coach and mentor team members toward exceeding expectations and progressing in their career
Drive the team forward towards execution on projects/goals that are often beyond the scope of just the immediate team and have broad customer impact
Education and Experience
Bachelor's degree in a quantitative field is required
5+ years of hands-on data science success at software companies
2+ years of experience directly managing data scientists
Experience in writing production grade machine learning models in Python
Hands-on experience with cloud infrastructure on AWS (Glue, EMR, Lambda, etc.) or Azure (Data Factory, DevOps, etc.) or GCP (BigQuery, Compute Engine. etc.)
Familiar with cloud-based source code management, continuous integration, continuous delivery, and other software development best practices (GitHub Actions, TeamCity, Octopus, Jenkins, etc.)
Demonstrated ability to lead high-performing teams, inspire others, and drive business results
Skilled at translating business problems into data science problems and communicating the results to non-technical audiences
Self-motivated, adaptable, and highly detail oriented
Must have a strong sense of curiosity and a willingness to learn
Exceptional verbal and written communication skills
Preferred Skills:
Advanced degree (master's or PhD) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, another quantitative field
Professional or academic experience in HR, social science or psychology
Enthusiastic about advanced analytics and how predictive insights lead to a superior customer experience
Be invested in staying current in data science by applying new technologies and practices
Physical requirements
Ability to sit for extended periods: The role requires sitting at a desk or workstation
for long periods, typically 7-8 hours a day.
Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and @type. This includes using multiple software programs and inquiries simultaneously.
Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better.
We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers.
We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact LeaveBenefits@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed.
The base pay range for this position is $146,600- $272,200/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. (https://px.sequoia.com/prospect/gacc-caf23ca0-0fdc-11f0-8761-139060d2fe23) This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers.
