Cost Estimation Engineer

Chipton-Ross is seeking a Cost Estimation Engineer for a hybrid contract opportunity in Grand Prairie, TX.

Ensure you read the information regarding this opportunity thoroughly before making an application.

This position is 50% onsite, 50% remote.

RESPONSIBILITIES :

This position requires experience developing complex cost models using advanced cost estimating techniques as well as excellent interpersonal skills required to solicit input, synthesize data, and communicate results to various levels of technical and programmatic leadership.

The role may include working on affordability analyses, life cycle cost developments, cost data analytics, forecasting cost and schedule, data collection and normalization, and design-to-cost.

The candidate selected will be asked to analyze multiple data sets to build engineering models, synthesize results, perform decision analysis, and communicate findings with engineering colleagues and internal decision makers.

REQUIRED EXPERIENCE :

• 5+ Years of Experience with one or more of the following : cost model development, data analytics, engineering related to the Defense industry, and / or finance.
• 5+ Years of Experience with Microsoft Excel & data analytics.
• 5+ Years of Experience navigating technical and cost data.
• Strong communication and interpersonal skills including the ability to communicate with an executive audience experienced in Data Visualization.

DESIRED REQUIREMENTS :

• Engineering with MBA or related advanced degree.
• Experience with Python, Visual Basic for Applications (VBA), MS SQL, and / or Tableau.
• Experience working with cost models, predictive analytics, or decision analysis.
• Knowledge of financial systems, analysis, statistics, etc.
• Knowledge of data management systems and / or data science.
• Familiarity with proposal development and / or the government acquisition process.
• Strong team collaboration and leadership skills.
• Experience with Capture, Position To Win, or Cost Engineering.
• Capable of performing O&S Cost, Similar-to, Pre-Design Performance, Sensitivity, Cost Capability, Producibility, Pareto and / or Learning Curve Analyses.
• Manufacturing materials & processes familiarity.

EDUCATION :

Accredited Bachelor's in Data Science, Math, Operations Research, Engineering, or related field.

WORK HOURS :

Full-Time, 4 / 10 work schedule, 1st Shift.

MISCELLANEOUS :

Applicants responding to this position will be subject to a government security investigation and must meet eligibility requirements by currently possessing the ability to view classified government information.

J-18808-Ljbffr