Who We Are
Kessel Run is an Air Force software development organization that continuously delivers war-winning software that our Airmen love. We are striving to be a “software company” within the Air Force that can sense and respond to conflict in any domain, anytime, anywhere.
We value continuous learning, continuous user feedback, continuous integration, continuous delivery, continuous security & continuous testing. We combine lean principles, user-centered design and eXtreme Programming (XP) using a flat management, balanced team approach to ensure we are always building the most valuable thing possible, the simplest way possible, and as fast as possible.
We are offering the opportunity to work in a modern work environment, to use cutting-edge technologies and modern processes, all while making a meaningful impact every single day. Come help us solve our nation’s toughest, most complex challenges while enjoying yourself at work every day.
Data scientists combine knowledge of statistical and machine learning practices with practical programming skills to provide data-driven solutions to real world problems. We are looking for data scientists who will be able to lead a team composed of data scientists and data engineers to support a variety of software development teams who are building applications for the modern warfighter. The ideal candidate will be able to work with multiple product teams to identify rich data science opportunities, develop data-centric solutions, and deploy those solutions to a secure production environment.
What You Will Do
- Work with product teams, users, and other stakeholders to identify opportunities for data-driven solutions.
- Help build sophisticated optimization models, and create algorithms for quickly producing near optimal solutions according to those models.
- Use supervised and unsupervised machine learning approaches to develop insights and provide recommendations or predictions for future events.
- Generate hypotheses, design experiments, gather, review and transform data, and test the hypotheses using modern and statistically rigorous methodologies.
- Develop new techniques and applications in optimization, statistics, and machine learning fields and present those findings to the academic community.
- Lead a team of data scientists and data science initiatives within our organization.
- Work hand-in-hand with the portfolio lead to identify resource allocation opportunities for our lines of effort.
Who You Are
- You have a theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
- You have experience in languages commonly used for data analysis such as Python, R, Julia, or SAS.
- You have experience working with databases such as SQL or MongoDB.
- You have experience working with large-scale data sets.
- You have experience producing data visualizations for a variety of different audiences.
- You have excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
- You have the ability to start with a messy unstructured problem, identify specific research questions from it, and propose data and model-driven solutions that would create value for end-users and other stakeholders.
- You have experience working on front-end, back-end, or full-stack web development projects.
- You have knowledge of current developments and trends in statistics, machine learning, and big data.
- You are a U.S. Citizen and have the ability to obtain a U.S. Security Clearance
This is a civilian position within the Department of Defense. We hire at GS-14 up to GS-15 equivalent levels. This means you can expect a base salary of $93,907 to $143,198 multiplied by your locality rate, based on your experience. You can find your locality definition here and see the pay tables for the GS scale here. Our headquarters is located in Boston, MA; for a Boston-based employee, this would translate to a range from $121,243 to $172,500.
We understand that there is no such thing as the ideal candidate for any job and we believe in empowering people to learn and grow throughout their careers. We encourage any applicant who is interested in making an impact in the Department of Defense to apply to this position regardless of background and qualifications.
Junior data scientists generally have a bachelor’s or master’s degree in statistics, operations research, mathematics, computer science, economics or a natural science and an ability to rapidly implement and test complex models and analytics to solve problems in their field. Senior data scientists will generally have a master’s or PhD in one of the above fields or a commensurate level of experience. These education levels are not required if the above qualifications are met.