Experienced Mathematics and Modeling Estimator

Experienced Mathematics and Modeling Estimator

Company:

The Boeing Company

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

Position 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

Basic Qualifications (Required Skills/Experience):

• 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

Preferred Qualifications (Desired Skills/Experience):  

• 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)

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  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. 

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations. 

Summary Pay Range: $127,500 - $172,500

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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