Data Scientist Manager

  • Full Time
  • Remote
  • 334

Website Paylocity Paylocity

As a Data Scientist Manager 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.

You will be in charge of the day to day operations of a team of data scientists, including reviewing their code, providing mentoring and career development and technical guidance. Further, you will work with the Chief Data Science Officer to catalog prioritize potential projects and drive forward internal efficiencies and policies for the team.

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 lead other data scientists and cross functional teams to deliver on data science projects
  • 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

What you bring:

  • Demonstrated ability to leverage data science to drive business results. Some ways previous successful candidates have demonstrated this are:

     o 7+ years of data science success at other software companies, including 2 years directly managing data scientists

     o A history of rolling up your sleeves and contributing individually, but also able to direct other data scientists and mentor them

        in their careers

  • Experience in writing production grade machine learning models in Python. Some ways previous successful candidates have demonstrated this are:

     o A portfolio of publicly available data science projects that resulted in a fully functioning piece of software

     o Strong academic publication or speaking record in organizations such as ICML, NeurIPS, JML, KDD, and INFORMS

     o History of strong performance in Kaggle competitions

     o 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:

     o A resume or cover letter outlining previous experience leveraging data science across many domains

     o 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:

     o 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. 

During the last three months, you would have:

  • Selected features, built and optimized classifiers using machine learning techniques such as random forests, xgboost, TensorFlow, linear regression, time series methods
  • Collaborated with Product Owners, Sales Leaders, Enterprise Architects and other executives to translate complex human capital management challenges into data science projects
  • 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
  • Leveraged cutting edge big data technologies on AWS and Microsoft Azure
  • 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

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