Paychex: Sr. Manager, Predictive Analytics and Data Science

Lead award winning team of 10 people responsible for enterprise wide analytics and model building, including all algorithm building across the enterprise and leveraging operational data into business insight.

Paychex Company: Paychex
Location: Rochester, NY

Role at Paychex: Lead award winning team of 10 individuals that are responsible for enterprise wide analytics and model building at $2.5 billion Company. Individual will be responsible for all algorithm building across the enterprise along with leveraging operational data into business insight. Looking for a thought leader that will have the autonomy and resources to try and build nascent innovative predictive models and analytic projects to help grow the company.

Specific Responsibilities:
  • Leads efforts to plan, design strategy, build, deploy and monitor predictive models to ensure revenue opportunities are leveraged.
  • Leads deployment of the Paychex | IHS Small Business Jobs Index each month, partnering with third-party economists to analyze results, publish findings, and develop further Index opportunities.
  • Consults with senior management and peers across the enterprise in the area of model development, while identifying ongoing opportunities for model usage to assist in enhancing growth.
  • Advocates for Paychex as a thought leader in the Big Data space, through internal presentations and industry conferences domestically and abroad.
  • Leads data-monetization initiatives, identifying opportunities to develop and grow this revenue stream.
  • Leads data-mining personnel to deliver reporting and analysis of key risk indicators on a weekly, monthly, and ad hoc basis, identifying potential situations for risk mitigation decision making.
  • Monitors the integrity of reported statistics related to risk processes. Oversees the creation of automated processes for collection of information.
  • Provides support and direction to ongoing research and development of processes and policies related to the selection and use of data to ensure data is sufficient and used appropriately.
  • Develops and maintains review-infrastructure to prioritize efforts within the review model.
  • Recruits, selects, hires and evaluates performance of personnel to ensure departmental needs are handled appropriately. Counsels and develops staff for personal and corporate advancement through career development, training programs and other resources as required for professional advancement,
  • Trains staff on product changes, Risk Management, and Risk Analytics processes to ensure staff is fully trained and knowledge is current

Desired Skills and Experience:
  • Advanced degree in Mathematics, Computational Statistics, Computer Science (PhD in an applicable field preferred, Masters level is a must).
  • Excellent interpersonal, analytical, and problem solving skills and the ability to manage multiple priorities and negotiate adversity required.
  • Statistical program knowledge (i.e.: SAS or advanced use of data base programs)

To apply please send your CV to .