KBR is seeking a Principal Data Scientist to help streamline operational networks and make them more efficient by consolidating and analyzing network data to inform key decision-makers.
Requirements
- Must have 8+ Years of experience in data engineering
- Must have experience with one or a combination of the following: data science, big data, and/or data engineering
- Must have experience with various data technologies in at least one of the following ecosystems Google Cloud, AWS, or Microsoft Azure
- Must have experience in presenting technical data for non-technical consumption
- Must have experience in using MS products (Word, Excel, PowerPoint, and Access)
- Must have experience building presentation from raw network data provided by engineers
Responsibilities
- Consolidate network data in a presentable fashion to help key decision makers make informed decisions on where to invest their resources to streamline their operational network and make it more efficient.
- Apply data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of network data.
- Deliver the latest data science and practices to help design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources of the network
- Help clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advise clients on data mining leading practices.
- Help unify, enrich, and analyze network data to derive new insights and opportunities.
- Leverage in-house data platforms as needed and recommend and build new data platforms/solutions as required to exceed clients
- Communicate findings, recommendations, and opportunities to clients to improve data systems and solutions.
Other
- Active DoD Secret clearance is required with eligibility to get TS in future to be considered for this role
- Must have a Bachelor's degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, Engineering, Data Science, or a related field.
- Location: On-site
- Travel Requirements: Minimal
- Working Hours: Standard
