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:
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, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
Are you the teammate we are looking for?
Who you are:

• Enthusiastic about advanced analytics and how predictive insights lead to a superior customer experience
• Invested in staying current in data science by applying new technologies and practices
• Able to work in a collaborative environment with a desire to share your ideas
• Able to work independently on modules and complete tasks with high quality, but unafraid to seek out suggestions from other team members
• Excited to work on cutting-edge technology!

How we work:

• Small, self-sufficient product-oriented teams with an entrepreneurial spirit organized into categories
• Dedicated Tech Operations experts committed to cutting-edge infrastructure and developer tools
• We don't add more folks to our teams, we add additional teams to scale
• Casual, collaborative, agile environment which embraces and operates under our shared principles
• Complete transparency with open, honest discussions about our progress
• Close working relationship between executive stakeholders and product teams

What we offer:

• Lean enabling process that focuses on putting our product teams in the best position to succeed
• A commitment to investing in our products, hiring the best talent, and giving them the chance to meaningfully contribute to a vast market opportunity
• A subscription to an Online Training forum for all technology colleagues.

Required Experience:

• 5-7 years of relevant experience or equivalent combination of experience and education.
• Bachelor's degree in computer science, engineering, technology or related field or equivalent experience - master's degree in data science a plus
• Excellent and proven understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience with common data science toolkits, such as R, Python, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Intellectual Curiosity
• Data-oriented personality
• Domain knowledge of the Human Capital Management industry preferred
• Experience with data visualization tools

During the last three months, you would have:

• Selected features, built and optimized classifiers using machine learning techniques
• Data mined using state-of-the-art methods
• Extended company's data with third party sources of information when needed
• Enhanced data collection procedures to include information that is relevant for building analytic systems
• Processed, cleansed, and verified the integrity of data used for analysis
• Continual monitoring of existing models and ensure accurate representation is presented, adjust when needed
• Conducted ad-hoc analysis and presented results in a clear manner
• Created automated anomaly detection systems and tracking of its performance
• Worked closely with full stack .Net engineers in an agile product development environment

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.