Senior Data Scientist

Paylocity is an equal opportunity employer.
Paylocity is a cloud-based software company that creates customized HR solutions for small to mid-sized organizations. Our workplace enhances communication and enables employees to connect, collaborate, and create from anywhere. Our award-winning culture ensures everyone has a voice and feels truly welcome. Join Paylocity as we shape the future of technology and the workplace!
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!
Position Overview:
Paylocity is growing its Data Practice Organization! Our data science team is responsible for developing machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. One example of an interesting project that we recently released is our Modern Workforce Index, which leverages machine learning to help employers measure and improve employee engagement. This project had direct CEO oversight and was a close collaboration with our Data Engineering and Data Insights teams.
As a Senior Data Scientist in Product & Technology, 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 prototype development and product improvement.
Location: 100% Remote
Reports To: Manager Data Science
Responsibilities:
• 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 Owners, Enterprise Architects, Software Development
Managers, and other executives to translate complex human capital
management challenges into data science projects
• Conduct ad-hoc analyses and present results in a clear manner
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
Requirements:• Bachelor's Degree required. • 4-7 years of data science success at other 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:• Advanced degree (Masters or PhD) preferred in computer science, industrial
engineering, statistics, industrial organizational psychology, other quantitative
field preferred• 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
Paylocity's Awards:

• Glassdoor's Employees Choice Award in 2014 and 2017
• 9-time Winner on Chicago Area's 101 Best and Brightest Companies to Work For
• Inc Magazine listed Paylocity as an Inc 5000 Fastest Growing Privately Held Firm from 2007-2013
• Ranked #13 on Built in Chicago Top 100 Digital Companies for 2016
• Ranked #24 on Forbes 2013 List of Top 100 Digital Companies in Chicago
• Ranked #38 on Crain's Fast Fifty List of Chicago's Fastest Growing Companies in 2014
• Ranked #334 on Deloitte's 2014 Technology Fast 500 List of Fastest Growing Companies in North America

Our award-winning culture has made this the place employees want to be. We have plenty of opportunities for you to grow your career within Paylocity, and offer benefits like Tuition Reimbursement so you can continue to learn and develop your skills. You could say our growth game is strong. We also reward hard work with a flexible, casual work environment and plenty of perks. From picnics, to game nights, to holiday parties, there's no shortage of ways to have fun.
We also offer the following benefits and perks:

• Competitive pay
• Comprehensive benefits (medical, dental, vision, 401k)
• Flexible work hours
• Paid Parental Leave
• Ample volunteer opportunities and events
• Health and wellness program
• Stock purchasing options (NASDAQ: PCTY)

#LI-Tech #LI-Remote
EEO and accessibility Statement
Paylocity is an equal opportunity employer.
Paylocity is committed to the full inclusion of all individuals. 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 [email protected]
This role can be performed from any office in the US. The pay range for this position in Colorado is $142,578 - $172,513/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. This information is provided per the Colorado Equal Pay for Equal Work Act. Base pay information is based on market location. Applicants should apply via www.paylocity.com/careers