Data Scientist - AI/ML Solutions

Paylocity • United State
Remote
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AI Summary

Paylocity is seeking a Data Scientist to develop AI and machine learning solutions for HR and payroll software. This role involves discovering insights from data to improve products and help clients make smarter human capital decisions. The position focuses on applying statistical and machine learning techniques to build and optimize models, leveraging cloud technologies, and collaborating with cross-functional teams. This is a fully remote position within the U.S. with a competitive salary and comprehensive benefits package.

Key Highlights
Develop AI and machine learning solutions for HR and payroll software.
Apply statistical, machine learning, and programming knowledge to discover patterns and drive product improvement.
Collaborate with product managers, architects, and engineers in an agile environment.
Fully remote position within the U.S.
Technical Skills Required
Python Machine Learning Time Series Forecasting Supervised Learning Anomaly Detection Regression Random Forests Gradient Boosting Neural Networks AWS Microsoft Azure Databricks Spark Data Modeling
Benefits & Perks
Medical, dental, vision, life, disability insurance
401(k) match
Perks supporting family and finances
Career development opportunities
Annual restricted stock unit grant
Salary range: $95,800 - $178,000/yr
Fully remote within the U.S.

Job Description


Job Type

Full-time

Description

Position Title: Data Scientist

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.

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!

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 Overview

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 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 prototype development and product improvement

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

  • 3 years of demonstrated data science success or similar experience with a Bachelor's degree, or an Advanced degree (Masters or PhD) preferred in data science, computer science, engineering, statistics, mathematics or another quantitative field.
  • 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

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

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 pay range for this position is $95,800 - $178,000/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. 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.

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