The U.S. Space Force (USSF) is a new branch of the Armed Forces. It was established on December 20, 2019 with enactment of the Fiscal Year 2020 National Defense Authorization Act and will be stood-up over the next 18 months. The USSF was established within the Department of the Air Force, meaning the Secretary of the Air Force has overall responsibility for the USSF, under the guidance and direction of the Secretary of Defense. Additionally, a four-star general known as the Chief of Space Operations (CSO) serves as the senior military member of the USSF. The CSO is a full member of the Joint Chiefs of Staff.

If you are someone who believes that humanity must expand and explore space... If you use intellectual curiosity, technical and organization creativity, a patience for culture building, and persistence to solve hard problems of all kinds… We invite you to come help us evolve our launch and test range systems into the two decision-data driven spaceports hearts of the USSF Space Mobility Future.

• The candidate must highly value team cohesion, respect, persistence, patience, urgency, and delivering real value. They will have a robust understanding how to find data and turn it into an effective basis for decisions across a growing set of mission types and scenarios. They are intrapreneurial, have strong communication and problem-solving skills, and see real value in but not be limited by ‘documented processes’ and ‘clear problem statement and requirements documentation.’ They must have a bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, Ops Research, or a related field. They should have 5+ years of experience in data science or business intelligence teams and should have 10+ years of professional program or project experience or similar. They will have strong leadership experience, a persistent focus on value, mature communication and interpersonal skills, the ability to motivate and inspire others, and the capacity to create an environment of trust and collaboration.

• The candidate’s background will demonstrate extensive experience in successfully developing, implementing, and supporting data-driven, operational decisions. Their professional experience will include work using data science methods, including experience with machine learning, predictive modeling, statistical analysis, and data visualization to successfully answer operational questions and make mission decisions. They will have the demonstrated ability to organize and manipulate large data sets, including spatial data, and run computer-based simulation models, perform statistical analyses, and graphically summarize model output data with summary statistics. Also, they will have the demonstrated ability to use structured query language (SQL) queries and other tools to compile, clean, characterize, and extract data for both vetting the products of outside parties and for preparing those productions for investigatory analysis. They will have demonstrated skills in applying data analytics tools and languages such as Python, PySpark, R, SparkR, Stata, or SAS to collect and analyze data. They must have experience using machine learning, deep learning algorithms, data analysis, and data visualization to support business intelligence processes. They have experience guiding data science and/or business intelligence project teams and planning workflows that have delivered effective results in real world applications.

• The candidate will be able to set clear organizational data science goals and objectives, provide guidance and direction, and foster a culture of collaboration and innovation. They will have the ability to quickly absorb new research material, and a working knowledge of statistics, analytics, predictive models, and data management. They will be able to delegate tasks, provide constructive feedback, and recognize and reward team members for their contributions. They will be able to build and lead a cross-functional team (including military, federal civilians, and industry partners) of data, software, compute/storage, and cybersecurity leads who will transform how Launch and Test Range data is captured, stored, management, and leveraged to evolve.

• The ideal candidate is someone who believes that humanity must expand and explore our universe. They are able to effectively use the tools of mathematics, computer science, and business ownership expertise. They are guided by effective interpersonal and problem-solving heuristics. They are slightly obsessed with delivering on jobs-to-be-done for those users and customers who can increasingly help us meet our USSF Assure Access To Space (AATS) capability objectives and our visionary Space Mobility/Weapons System goals. And most of all, they are ready to lead a team in the creation of a powerful decision-data driven set of capabilities that they will use to find, develop, and enrich increasingly valuable decision-data and ultimately deliver conclusions that increase the success of developmental and operation system decisions-users.

• The successful candidate will build and lead their team in discovering which data is currently used, and what decisions are made through this utilization, by users who can achieve increased Space Launch Volume and Weapons Systems Effectiveness at our Spaceports. They will use discoveries to develop clear segmentation of their value streams. They will use this segmentation to characterize what properly controlled, timely, accurate, adamant, relevant and actionable data looks like in each of the segment use cases. And with cycle of this insight gathering, they will continuously evolve a set of decision-data centric launch and test range capabilities adapted for the current decision-data needs and positioned to meet those that they see are emerging.

Key Skills and Abilities:

1.Mastery of system engineering to manage extensive technical work performed by subordinates in the workforce. This includes knowledge of the physical and disciplined engineering sciences and mathematics, and the processes, techniques, and practices of electronics engineering.

2.Expert knowledge of professional electronics engineering concepts, principles, practices, standards, methods, techniques, materials, and equipment to effectively apply advanced engineering theories, principles, and concepts to project development, execution, and advisory services.

3.Expert knowledge of and ability to apply procedures, requirements, regulations, and policies related to specialized expertise in the work of the unit (such as engineering, cost accounting, logistics supply, etc.) including the ability to maintain credibility with others on technical matters.

4.Expert knowledge of resource management, planning, programming, budgeting, appropriation, funding, and accounting processes and their implication for effective mission accomplishment.

5.Ability to inspire, motivate and guide others toward goal accomplishments. Leadership ability, including the ability to coach, mentor and challenge integrated product team members; ability to adapt leadership style to variety of situations, and ability to model high standards of honesty, integrity, trust, openness, and respect for the individual by applying these values to daily behavior. Knowledge of safety, security, personnel management, and EEO regulations, practices, and procedures.

6.Ability to communicate effectively, clearly, concisely and with technical accuracy both orally and in writing with technical accuracy. Use computers and a variety of software programs and databases, gather and analyze a variety of program information, make sound judgments concerning program progress, and effectively communicate recommendations orally and in writing to higher organizational management and contractors.

7.Ability to evaluate insertion of new technology for design efficiency, cost reasonableness and developmental risks.

Requirements:

1.A professional engineering degree at the bachelor’s level from an ABET accredited institution in engineering or a closely related field is required.

2.Required to handle and safeguard sensitive and/or classified information in accordance with regulations to reduce potential compromise.

3.Employee must be able to obtain and maintain a Secret clearance.

4.May be required to travel by military or commercial aircraft in the performance of TDY assignments.

5.May be required to work overtime on an unscheduled or emergency basis. Employee may be required to work extended or other than normal duty hours to include evenings and weekends and may be subject to recall. Incumbent may be required to report to work during base exercises, contingencies, or emergency situations and overtime/comp time/credit hours may be required to accomplish assigned duties.

6.The employee must meet the Defense Acquisition Workforce Improvement Act (DAWIA) requirements applicable to the duties of the position.

7. This position is eligible for situational telework.

8. PCS may or may not be paid and Incentives may or may not be paid.