Job Description
We are Lockheed Martin
The selected candidate will perform Modeling,
Simulation & Analysis (MS&A) in support of F-35
Sustainment.
1) Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions
2) Support and lead coordination and development of problem statements, modeling approaches and ground rules and assumptions (GR&A)
3) Mine, process, and summarize data
4) Manage the quality assurance of data scraping, query databases for stakeholder requests, and triage data issues for timely resolutions
5) Analyze large datasets, draw valid inferences, and prepare insights in narrative or visual forms, including dashboards
6) Analyze fielded performance developing solutions to assigned problems for the purpose of forecasting, root cause analysis, evaluation of potential solutions, and assessment of corrective actions.
7) Set up and maintain data processes and new analytics capabilities
8) Produce and track key performance indicators
9) Support the modification and delivery of contract data requirement lists (CDRLs)
What’s In It For You
Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually.
Here are some of the benefits you can enjoy :
- Medical
- Dental
- 401k
- Paid time off
- Work / life balance
- Career development
- Mentorship opportunities
- Rewards & recognition
Desired skills
1. Experience with application of scientific methods for testing and debugging, problem resolution, root-cause analysis.
2. Knowledge of scripting (one or more common languages e.g., Python, R, SQL, C / C++), statistics (descriptive and inferential), data munging, and data visualization
3. Experienced in data structures and hierarchies.
4. Experience collecting and compiling datasets from disparate data sources into the required data structure.
5. Ability to perform analysis via multi-criteria decision modeling including discrete event simulations, statistical & risk analysis, life-cycle cost analysis, performance & cost trade-offs, and business case analysis.
6. Proficiency with MS Office tool suite.
7. Experience managing data quality and configuration control.
8. Experience analyzing supply chain networks.
9. Strong analytical skills and understanding of system databases, data elements and application software solutions to optimize data gathering and analysis.
10. Ability to interact with the customer as the subject matter expert to present and work through data issues and discrepancies.
11. Experience with working in a SAFe agile framework environment
12. Ability to define technical solutions against business opportunities