Paylocity is looking to enhance its all-in-one software platform, elevate its technology, and improve the employee experience by developing AI and machine learning solutions to meet client needs in various domains, ultimately helping customers make smarter human capital decisions.
Requirements
- 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
- Significant experience with cloud development and infrastructure-as-code tools
- Be invested in staying current in data science by applying new technologies and practices
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 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
Other
- 4-7 years of data science success at software companies
- 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
- Professional or academic experience in HR, social science or psychology
