[Hiring] Senior Data Scientist @KBR

Role Description

The successful candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on BD and KM systems supporting DoD Test Ranges and various acquisition programs. The successful candidate will support our customers with insights gained from analyzing DoD Test & Evaluation data.

• Collaborate with technical and non-technical stakeholders to identify analytic requirements and analysis questions.
• Identify opportunities for process or workflow optimization.
• Use a variety of methods and models to test the effectiveness of different courses of action.
• Utilize data mining and data analysis methods.
• Access data stored in various data storage paradigms.
• Develop models using statistical and machine learning approaches.
• Create custom algorithms and implement analysis workflows in Python or R.
• Write reports and documentation.
• Drive decisions through effective communication of data-based insights.
• Work with a wide range of stakeholders and functional teams.
• Passion for discovering insights hidden in large data sets.
• Improve business outcomes through high-quality products.

Qualifications

• Active Top Secret Security Clearance.
• Curiosity to explore data and a strong desire to learn new methods.
• Advanced degree in operations research, engineering, applied math, statistics, or computer science with 15 - 20 years of hands-on experience within DoD.
• Experience working with end users, gathering requirements, and developing data analysis tools or products.
• Experience developing and interpreting results of analytic products with DoD specific data types and large volumes of data.
• Foundation in quantitative methods from statistics, machine learning, operations research, and computational methods.
• Understanding of challenges associated with computational methods applied to large data sets.
• Familiarity with modern technologies and architectures for analysis at scale.
• Competency in data modeling, data wrangling, and ETL processes.
• Experience using R and Python for feature engineering, analysis, visualization, and building interactive tools.
• Experience with Jupyter Notebooks and RMarkdown for reproducible products.
• Experience with interactive visualization tools (RShiny, pyShiny, Dash).
• Experience generating and presenting reports and visualizations to customers.
• Experience with time series and geospatial data analysis methods.
• Experience with Windows, Linux, and containers.
• Experience querying databases using SQL and working with distributed storage and computing environments.
• Experience working with code repositories in a collaborative team.
• Ability to make insightful recommendations based on data-driven analysis.
• Effective communication skills, both orally and in writing.
• Ability to present findings to large technical and non-technical groups.
• Ability to create documentation and repeatable procedures for reproducible research.
• Ability to create training content for novice end users.
• Self-motivated to design and develop software applications to improve data outputs.
• Knowledge of methods from operations research, statistical and machine learning, data science, and computer science.
• Knowledge of computer programming concepts, data structures, and storage architectures.

Requirements

• Preference given to PhD level applicants.

Benefits

• Basic Compensation: $227,000 - $285,000 (For California Only).
• KBR may offer bonuses, commissions, or other forms of compensation.
• KBR offers a selection of competitive lifestyle benefits including 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.
• Support for career advancement through professional training and development.