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Nasa Internships Summer 2022 – Cost Engineer Programmatic Risk Analyst In Cleveland

    Website NASA

    Job Description:

    New ideas are all around us, but only a few will change the world. That’s our focus at JPL. We ask the biggest questions, then search the universe for answers—literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission—your opportunity—is to seek out the answers that bring us one step closer. If you’re driven to discover, create, and inspire something that lasts a lifetime and beyond, you’re ready for JPL.

    Job Responsibilities:

    • Lead and support independent cost and schedule assessments for competed and directed missions and missions approaching NASA Key Decision Point (KDP) transitions gates and JPL institutional reviews.Deliverables include Independent Cost Estimates (ICE), Independent Schedule Assessment (ISA), cost and schedule high-low ranges, and Joint Confidence Level analysis.
    • Utilize a variety of analytic techniques/methodologies for cost and schedule evaluations.
    • Communicate requirements and risk assessment processes to projects, Standing Review Board (SRB) members, NASA Headquarters, and JPL management
    • Prepare and present independent assessment of technical and resource risks and issues at JPL and external customer reviews.
    • Develop and maintain effective working relationships across the JPL business community.

    Job Requirements/Qualifications:

    • Typically requires a Bachelor’s degree in Aerospace Engineering, Economics, Mathematics, Business Administration, Computer Science or related discipline with a minimum of 6 years of related experience; Master’s degree in similar disciplines with a minimum of 4 years of related experience; or PhD in similar disciplines with a minimum of 8 years related experience.
    • Understands multiple analytic techniques/methodologies and parametric models used in cost and schedule evaluation including Monte Carlo simulations in support of S-curve analysis generation with analytical findings (e.g. JCL simulation).
    • Understands industry and/or academic practices and standards in project cost and schedule evaluation analyses with proficiency in the application of data science principles and the application of software tools.
    • Demonstrated ability to collaborate and work with technical organizations, including system contractors, in a multidisciplinary environment.
    • Effective communication skills in verbal, written, and presentation forms, including significant experience working with executive management.
    • Experience in participating in project life-cycle planning, risk analysis, risk management, and reporting.

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