Title:

Data Scientist

Belong. Connect. Grow. with KBR!

KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security.

Why Join Us?

Innovative Projects: KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions.Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace.Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense.

KBR is seeking a Data Scientist to join our team

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 for DoD testing Ranges and various acquisition programs. The successful candidate will support our customers with insights gained from analyzing DoD Test & Evaluation data. The ideal candidate is adept at using large data sets to find opportunities for process/workflow optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running scripts and reports. They must have a proven ability to drive decisions with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The successful candidate will be expected to utilize BD and KM tools and follow processes that ensure high quality products are delivered. The successful candidate will have extensive technical expertise in data science, academic or industry experience, and have excellent communication skills. As a Data Scientist, you will be part of a technical team responsible for evaluating customer requirements pertaining to complex big data analytic challenges. You will meet frequently with DoD analysts to discuss needs and effectively communicate solutions at both a programmatic and technical level. This team will provide analytical services and solutions to various DoD testing Ranges and acquisition programs. You will be responsible for developing and implementing solutions using machine learning tools, statistical data analytics, and providing input on the design and development of analytical products and reports. You will work in design, maintenance, completion, and end user training for a highly visible data analytic project, at multiple DoD ranges, creating efficient solutions with the goal of ultimately improving data analytics within DoD Test and Evaluation. Only Senior level Data Scientists are encouraged to apply, entry level positions will not be considered. This position will require travel of 25% with potential to surge to 50% to support end users located at various DoD Ranges in the CONUS. Come join the KBR BDKM team and be a part of the award-winning team responsible for revolutionizing how data analysis is performed across the entire Department of Defense!

BASIC QUALIFICATIONS

This position requires a Master’s degree in Computer Science, Data Science, Statistics, Operations Research or related, technical field, and 10-15 years of DoD experience – preference will be given to Ph.D applicants. Advanced degrees may be substituted for years of experience on a year-for-year basis. Only interested in Senior level Data Scientists.Previous experience must include five (7-10) years of hands-on experience in big data analytics or machine learning within the DoD.Strong command of principles of: statistical analysis, machine learning algorithms, deep learning architectures, and data modeling.Solid understanding of the extraction, transformation, and loading (ETL) of data.Proven analytical skills and experience in handling large volume of data.Experience in exploratory data analysis (EDA) and feature engineering.Experience in dealing with imperfections in data.Experience in implementing Data visualization solutions.Active or Current Secret Clearance required - Top Secret Clearance preferred.

Knowledge / Skills / Abilities:

Well-rounded skills in data science: computer programming (e.g., Python, R), data structures (e.g., SQL, Hadoop), statistics (e.g., Bayesian modelling), data visualization (e.g., Matplotlib, Seaborn plot, Plotly, Dash,Tableau), modeling and simulation are required.Working knowledge of both relational (SQL) and non-relational (NoSQL) databases.Proficiency using Python or R programming languageOne-year experience developing applications using Big Data databases (e.g., Accumulo, HBase, MongoDB, Cassandra)Experience with some of the following: Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, Apache Nifi, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), and graph-databases.Experience with working in teams in the data science industry is preferred.Familiarity of JupyterLab or Jupyter Notebook.Experience with setting up and saving Python virtual or conda environments.The Data Scientist must have the ability to work closely with other scientists or software engineers to develop the best technical design and approach for new analytical products.Ability to problem solve, debug, and troubleshoot while under pressure and time constraints is required.Expertise in statistical data analytics, machine learning, open source and proprietary tools and applications. Must have an excellent knowledge of advanced methods, and experience in applying those methods to solve problems.Ability to communicate effectively about technical topics to both experts and non-experts at both the management and technical level is required.Excellent interpersonal skills, oral and written communication skills, and strong personal motivation are preferred. Knowledge of software design patterns, and Agile Development methodologies is a plus.Experience with github repositories and http access tokens is a plus.Ability to work independently and provide appropriate recommendations for optimal analysis and development.Excellent written and verbal communications skills are required, as the Data Scientist will be in frequent contact with the project technical lead, be taking direction from various government leads, and will frequently be interacting with end users to gather requirements and implement solutions while away from other team members.

ADDITIONAL QUALIFICATIONS

The preferred candidate will have experience working in government/defense labs and their computing restrictions.Knowledge of the Test and Training Enabling Architecture (TENA), the Joint Mission Environment Testing Capability (JMETC), and Distributed Testing and Training.Experience working with major DoD Acquisition programs such as Joint Strike Fighter (JSF) or Missile Defense Agency (MDA) is a plus.Knowledge of DoD Cybersecurity policies.

Target salary range for California

$220,000 - $250,000

The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal equity

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.