6 months ago
Honolulu, HI, USASenior
Base Salary
$120k - $179k/yr
Responsibilities
- Develop and support data-driven decision analysis products using data science, machine learning, operations research, and DoD test-and-evaluation data.
- Build, optimize, maintain, and troubleshoot big-data pipelines, architectures, datasets, and analytical systems.
- Prepare, clean, and analyze large structured, unstructured, time-series, geospatial, and other imperfect datasets for ETL and analytics.
- Install, configure, and operate big-data infrastructure and analytical tools, including support in closed networks without internet access.
- Create reproducible notebooks, reports, visualizations, interactive analytics, documentation, training materials, and repeatable procedures.
- Provide onsite analytic consulting and technical support to DoD stakeholders, analysts, VIPs, and end users.
- Present analysis results and recommendations to technical and non-technical audiences and conduct hands-on user training.
- Gather stakeholder use cases, requirements, gaps, and needs and communicate larger development requests or bug reports to the development team.
- Work with data scientists, software engineers, and system administrators to design and implement analytical products and technical solutions.
- Work independently, debug and troubleshoot under pressure, and communicate effectively with customers and teammates.
Requirements
- Active or current TS/SCI security clearance.
- Degree in operations research, engineering, applied mathematics, statistics, computer science, or information technology.
- Preferred 15+ years of experience within the DoD; candidates with 10–15 years of DoD experience may be considered case by case.
- At least five years of hands-on big-data analytics experience.
- At least five years of hands-on experience with object-oriented and functional programming languages.
- Experience using Python and R for data processing, analysis, and visualization.
- Experience with Jupyter Notebooks, RMarkdown, RShiny, pyShiny, and Dash.
- Experience building and optimizing big-data pipelines, architectures, and datasets and implementing ETL processes.
- Experience with Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase, MS SQL Server with PolyBase, and distributed storage and computing environments.
- Experience working with Windows, Linux, containers, SQL, code repositories, and collaborative development teams.
- Experience preparing and handling large data volumes, including time-series and geospatial data, and working with structured and unstructured datasets.
- Knowledge of message queuing, stream processing, software design patterns, data structures, storage architecture, relational and non-relational databases, distributed computing, modeling and simulation, and Agile development methodologies.
- Knowledge of statistical analysis, data mining, machine learning, data science, operations research, and computer science methods sufficient to select appropriate analytical and infrastructure approaches.
- Ability to create documentation and educational content, present to large technical and non-technical groups, make data-driven recommendations, and troubleshoot problems effectively.
Benefits
- Onsite position in Honolulu, Hawaii; remote work or work from a nearby KBR office may be available when not supporting a site.
- Requires approximately 25% travel, with potential surge to 50%, to DoD ranges and laboratories across the United States, including Alaska and Hawaii.
- Standard working hours.
- Potential additional compensation may include bonuses, commissions, sign-on or relocation benefits, short-term incentives, long-term incentives, or discretionary performance payments.
- KBR promotes a collaborative People First and Zero Harm culture.
Tech Stack
Categories
Data EngineeringData Science
About KBR, Inc.
KBR, Inc. delivers engineering, technology, and professional services to government and industrial customers, spanning defense, space, sustainability, and energy. Its businesses include long-term government mission support and program management, and Sustainable Technology Solutions that license process technologies and provide consulting and operations support across asset lifecycles. Headquartered in Houston and listed on the NYSE, KBR became an independent public company in 2006 after its separation from Halliburton.