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Job Id : 4305

Jobtitle : Data Scientist

Location : Remote, US

Company Name : PAYLOCITY

Industry : Information Technology

Salary : $80,000 - $100,000  YEAR

Job type : Fulltime

Posted on: 2019-08-20

Required Skills : Data Scientist ,ICML, NeurIPS, JML, KDD, And INFORMS

Benefits : No benefits are available


As a 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, 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

  • Curiosity and candor; the quality of the idea wins the day
  • Casual, focused, and agile environment operating under our shared principles
  • Customers at the center of everything we do
  • Small, mission-focused squads with an entrepreneurial spirit backed by enterprise investments
  • Consistent routines across stakeholders to ensure complete transparency
  • Close working relationship between executive stakeholders and customers

What we offer

  • A compelling mission to elevate payroll and human resources across the backroom and into the boardroom
  • Focus on helping our customers automate manual processes, appeal to the modern workforce, and glean insights from analytics
  • Lean enabling process that focuses on putting our customers at the center of everything we do
  • A commitment to investing in our products, hiring the best talent, and giving them the chance to meaningfully contribute to a vast market opportunity
  • Ample opportunity and encouragement to stay current with external training
  • A phenomenal talent anywhere culture, where employees can work remotely anywhere in the U.S. and/or work from one of three U.S. offices located in Illinois, Florida and Idaho


  • Demonstrated ability to leverage data science to drive business results. Some ways previous successful candidates have demonstrated this are:
  • 3-6 years of data science success at other software companies
  • Recognized success for data science skills via academic awards, scholarships or corporate recognition programs (Employee of the Year, etc.)
  • Experience in writing production grade machine learning models in Python. Some ways previous successful candidates have demonstrated this are:
  • A portfolio of publically available data science projects that resulted in a fully functioning piece of software
  • Strong academic publication or speaking record in organizations such as ICML, NeurIPS, JML, KDD, and INFORMS
  • History of strong performance in Kaggle competitions
  • Experience with cloud infrastructure on AWS or Azure
  • Skilled at translating business problems into data science problems and communicating the results to non-technical audiences.

Some ways previous successful candidates have demonstrated this are

  • A resume or cover letter outlining previous experience leveraging data science across many domains
  • A professional or academic track record of teaching mathematical or data science concepts to non-traditional audiences
  • Experience or interest for leveraging technology and data to empower employees. Some ways previous successful candidates have demonstrated this are:
  • Professional or academic experience in HR, social science or psychology
  • Advanced degree (Masters or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or other quantitative field preferred. Bachelor’s degree required.

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