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.
Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology!
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.
Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit!
Our data science team is responsible for developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. The team is focused on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. You can learn more about the@type of work we do on our Paylocity AI page.
As a Senior Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to proto@type development and productimprovement
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.
Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks
Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark
Collaborate with Product Managers, Enterprise Architects, Software Development
Managers, and other leaders to translate complex human capital management challenges into data science projects
Create automated data and modeling pipelines and develop custom performance tracking
Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features
Conduct ad-hoc analyses and present results in a clear manner
Education and Experience
Advanced degree (Masters or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or another quantitative field. Bachelor's degree required.
4-7 years of data science success at software companies
Experience in writing production grade machine learning models in Python
Experience with cloud infrastructure on AWS or Azure
Demonstrated ability to leverage data science to drive business results
Skilled at translating business problems into data science problems and communicating the results to non-technical audiences
Able to work in a collaborative environment with a desire to share your ideas
Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members
Self-motivated, adaptable, and highly detail oriented
Preferred Skills:
Professional or academic experience in HR, social science or psychology
Significant experience with cloud development and infrastructure-as-code tools
Be invested in staying current in data science by applying new technologies and practices
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 accessibility@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.
This role can be performed from any office in the US. The pay range for this position is $117k - $167/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. (https://rise.articulate.com/share/NWT-xukAz2nsMapN3L3TSRXfxzBGrFh_#/) 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.
