Supervisory Data Scientist

This position is in the Office of Enforcement and Compliance Assurance, Office of Compliance, Enforcement Targeting and Data Division, Data Systems and Information Management Branch. About the Office of Enforcement and Compliance Assurance: OECA

This is an office-centered position*--you must physically report to the duty station stated in this announcement on a regular basis.
*EPA offers work-from-home and work schedule flexibilities as described in the Benefits section.

NOTE: You must meet qualification requirements, including any requirements described in the Education section, by the closing date of this announcement.

In addition to the basic entry education requirements, you must have specialized experience and/or directly related education as described below:

To qualify for the GS-15 level, you must have 1 year of full-time* specialized experience equivalent to at least the GS-14 level defined as collecting, managing, analyzing data and software application system processes throughout the data life cycle; developing and implementing data standards and data models; and transforming data collected into useful knowledge for management of regulatory programs.

Your application package will be used to evaluate your competencies in the following areas:

• Knowledge of all aspects of the data science life cycle.
• Ability to develop data models to align business and mission critical requirements particularly to develop IT solutions.
• Ability to translate and communicate results of data analyses into solutions.
• Knowledge of program-related laws and regulations.
• Ability to advise on the appropriate data and methodological approach to conduct data analyses using software and/or programming languages.
• Skill in oral communication.
• Ability to manage, lead or administer project resources and monitor project activities to mitigate risk.
• Ability to evaluate, advise, and establish procedures, protocols, and strategies to improve efficiencies and operations.
• Ability to determine objectives and set priorities.
• Knowledge of the principles and methods of cost-benefit analysis.
• Knowledge of practices and methods used to determine, estimate, and analyze costs associated with data life cycles.
• Skill in written communication.

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.