Supervisory Mathematical Statistician

2 months ago


Washington, United States Federal Motor Carrier Safety Administration Full time

The Supervisory Mathematical Statistician (Division Chief):

Provides leadership for achieving goals and creating necessary change in the Office of Research (MC-RR). Directs the development and implementation of a strategic data improvement and analysis plan to meet the needs of the agency. Determines program goals and directs statistical and economic analyses to support the programs and priorities of FMCSA.
Manages and directs studies and analyses that quantitatively evaluate the effectiveness of major motor carrier safety programs, including roadside inspections, compliance reviews, the Motor Carrier Safety Assistance Program (MCSAP) and the federal motor carrier safety regulations (FMCSRs).
Directs the safety impact evaluation of proposed motor carrier, driver and vehicle regulations, including cost/benefit and regulatory flexibility analyses, and directs the quantitative evaluation of existing rules for on-going (or changing) effectiveness after implementation of a regulation or other agency program that targets improving the safety of motor carriers, drivers, and/or equipment (vehicles). Provides necessary oversight to ensure that valid safety assessment and economic principles and practices are adhered to in every evaluation.
Serves as the Department of Transportation's (DOT's) focal point for statistical advice regarding policies and recommended practices of motor carrier safety programs. especially in relation to safety data quality and data. Provides expert oversight to ensure that all studies have statistical validity.

The Ideal Candidate is an accomplished leader/manager with a proven track record in strategic analysis and decision support within federal agencies, with extensive experience and innovative approaches to analyzing data. A candidate that has consistently demonstrated the ability to drive organizational success through data-driven insights and operational excellence. Should have a deep understanding of the complexities and challenges facing a data driven agency. Should have a robust background in interpreting complex data sets, conducting comprehensive risk assessments, and synthesizing information to inform high-stakes decisions at both tactical and strategic levels. Leadership style should be characterized by a commitment to fostering a culture of collaboration and excellence among multidisciplinary teams and is dedicated to advancing the agency's mission by fostering a data-driven culture of excellence and innovation. A candidate that can lead and inspire a team of talented analysts in delivering actionable intelligence that informs critical decision-making and drives positive outcomes for our stakeholders and the American public.



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