Experienced Mathematics and Modeling Estimator

BoeingRidley Park, PA
Remote

About The Position

The Estimating Center of Expertise is looking for an Experienced Mathematics and Modeling Estimator to join our Independent Estimating Team, this role will be fully remote . This challenging role supports development and maintenance of independent cost estimates for Boeing Defense, Space & Security and Boeing Global Services within the Estimating Center of Expertise (ECOE) in Finance Shared Services. The role is responsible for generating Independent Cost Estimates (ICEs) in support of strategic proposals, Estimate at Complete (EACs) and Rough Order of Magnitude (ROM) to support and inform strategic decisions (bids, analyses of alternatives, etc). The role also builds, matures, and enhances our independent cost estimating database and methods while building and maintaining collaborative relationships across the ECOE and other Boeing organizations. This role supports multiple Boeing platforms by analyzing data and modeling costs, while working with Finance and Technical teams, and presenting findings to executives. Key tasks include the creation and maintenance of predictive cost models, performing risk analyses, and building and using parametric models and tools (e.g., SEER, TruePlanning). The work requires creative problem solving, advanced statistical analysis, clear data-driven communication, formulating problems in mathematic terms, and contributing to the strategy for the organization. Our ideal candidate: Is a curious collaborative problem-solver with strong leadership and communication skills and a “team-first” mindset Has strong presentation skills, can effectively communicate data to peers and leadership, and recommendations in briefings Can work in data-limited environments and solve problems creatively Has experience with parametric modeling and estimating Has experience with statistical modeling and data visualization Has aerospace industry experience and/or familiarity with Government/Department of War acquisition processes

Requirements

  • Bachelor's Degree or higher
  • 3+ years of experience in the aerospace and/or defense industry
  • 3+ years of experience using all the following Microsoft Office Tools (Word, Excel and PowerPoint)
  • Experience presenting complex analyses and making recommendations to leadership

Nice To Haves

  • 3+ years of experience working multiple of the following languages and/or data tools: Python, PySpark, R/RStudio, Pandas, NumPy, JMP, PowerBI, Tableau
  • Experience with parametric modeling and estimating (commercial tools such as SEER or TruePlanning, and/or custom models)
  • Experience with risk analysis and risk analysis software such as @RISK
  • Cost Certification: ICEAA Certification (CCEA, PCEA, SCEC), Defense Acquisition University, or other related certification
  • Secret Security Clearance or higher
  • Ability to travel (once a month)

Responsibilities

  • Consults large cross-functional teams to understand complex Estimating requirements and processes and be able to translate them to scalable, best-in-class solutions
  • Applies statistical analysis to data sets to support the development of complex estimating methodologies
  • Conveys complex analysis and recommendations in an easily digestible format across various functions
  • Develops analytical and/or innovative estimating solutions when datasets are limited or imperfect
  • Performs complex analysis, consults team members and leadership regarding recommendations in support of estimating and pricing methodologies, tools, and processes

Benefits

  • Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
  • The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
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