Operations Research Analyst (Senior Data Scientist/Econometrician)

Washington, District of Columbia
Salary
$168K–$195K/yr
Job Type
Full-time
Posted
4 weeks ago

Job Description

Summary

Operations Research Analyst (GS-15) to apply advanced analytics, solve problems, and conduct data-driven transportation research.

Operations Research Analyst (GS-15)

We are seeking a highly skilled Operations Research Analyst to apply advanced analytical techniques, solve complex problems, and conduct research, particularly within the rail transportation sector. This role involves developing data-driven solutions and evaluating transportation-related policies.

Key Responsibilities:

  • Write and present comprehensive technical reports based on research findings.
  • Develop innovative methods and approaches for utilizing data to solve problems.
  • Apply advanced mathematics, economics, or statistics to address complex challenges.
  • Conduct data-driven research on rail transportation issues.
  • Utilize analytical methods to evaluate transportation-related laws, policies, guidelines, and rules.

Required Qualifications:

Education:

  • A degree in Operations Research; or
  • At least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial college-level mathematics or statistics competence.
  • Within the 24 semester hours, at least 3 must be in calculus.

Experience (GS-15 Level):

  • One year of specialized experience equivalent to the GS-14 level (federal, private, or volunteer).
  • This experience must demonstrate all of the following:
* Writing and presenting comprehensive technical research reports. * Developing new data-driven problem-solving methods. * Problem-solving using applied mathematics, economics, or statistics. * Conducting data-driven research on rail transportation. * Applying analytical methods to evaluate transportation laws, policies, or rules.

Application Tips:

  • Submit a resume (maximum 2 pages).
  • Clearly indicate start/end dates (MM/DD/YY) and hours worked per week for all positions.
  • Be specific; we will not make assumptions about your experience or education.


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