KBR is looking to address gaps and discrepancies in sustainment-management reporting through the synchronization of multiple stakeholder requirements and the processing and analysis of sustainment data to develop and display operational readiness metrics and predictive analytics.
Requirements
- Strong machine learning and predictive analysis skills
- Manipulating large data sets with SQL and Python
- Experience with a cloud computing system such as ADVANA, ENVISION or PALANTIR
- Documenting and communicating results of analysis
- Experience manipulating data from spreadsheets (i.e. MS Excel)
- Apache Spark
- Text mining and unstructured data analysis techniques
Responsibilities
- Research and apply state-of-the-art data mining methods and innovative statistical models
- Use predictive analytics to calculate the potential impact of equipment downtime
- Provide the ability to display metrics generated from automated data sources
- Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables
- Apply analytical tools to analyze large datasets and reveal connections between data elements and the underlying causes for observed behavior in the data
- Process, cleanse, and verify the integrity of data used for analysis
- Clearly document and present methodology, assumptions, and findings to stakeholders
Other
- Bachelor’s degree in Computer Science, Data Science, Operations Research or related discipline
- 3-5 years of experience in a data science related discipline
- DoD SECRET or higher clearance
- Ability to provide daily onsite support in Government offices in the National Capital Region
- Travel Requirements: Minimal less than 10% if necessary
