Federal Energy Regulatory Commision
Data Scientist
Federal Energy Regulatory Commision, Washington, District of Columbia, us, 20022
The Federal Energy Regulatory Commission (FERC) is ranked within the top 5 mid-size agencies through the Partnership for Public Service’s Best Places to Work in the Federal Government Rankings! This Data Scientist position is in the Office of Enforcement. For more information visit:
OE
To view the eligibility and qualification requirements of Data Scientist, GS-1560, please visit:
Data Scientist, 1560
In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-09 level or education or a combination of education and experience. Specialized experience is defined as either:
Experience developing a data warehouse using Python or SQL, or
Experience developing Python or SQL processes using cloud-based platforms.
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 any volunteer experience.
Please do not cut and paste the position description, specialized experience, or occupational assessment questionnaire from this announcement into your resume, as this will not be considered a demonstration of your qualifications for this position.
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OE
To view the eligibility and qualification requirements of Data Scientist, GS-1560, please visit:
Data Scientist, 1560
In addition to the education required for this position, you must have one full year of specialized experience at or equivalent to the GS-09 level or education or a combination of education and experience. Specialized experience is defined as either:
Experience developing a data warehouse using Python or SQL, or
Experience developing Python or SQL processes using cloud-based platforms.
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 any volunteer experience.
Please do not cut and paste the position description, specialized experience, or occupational assessment questionnaire from this announcement into your resume, as this will not be considered a demonstration of your qualifications for this position.
#J-18808-Ljbffr