Data Products Team Lead – Millennium Space Systems

Job Description

At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

Millennium Space Systems, A Boeing Company, delivers affordable, high-performance space systems for exacting customers. At Millennium, you will be part of a close-knit team working on exciting technological problems. We work in an open environment where ideas are shared across all disciplines, and there are ample opportunities for advancement based on excellence. Superstars are welcome.

At Millennium, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company committed to fostering an environment for every teammate that’s welcoming, respectful and innovative, with great opportunities for professional growth. Find your future with us.

Millennium-Space Systems is looking for a Data Products Team Lead who can develop and build a team responsible for the next generation of AI & ML products and services. At MSS, we are all innovators on a mission to connect, protect, explore and inspire. From the ground to outer space, and everything in between, you’ll learn and grow, contributing to work that shapes the world.

As part of the core Data Products group, the candidate will lead project teams in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals.

• Solve challenging problems involving multi-sensor data analysis, exploitation, and integration in overhead persistent infrared (OPIR) mission areas executed by the United States Space Force, Space Systems Command;
  Missile Defense Agency;
  Space Development Agency; and other community members

• Evaluate business objectives, determine stakeholder needs, and identify requirements. Choose best fit methods, define algorithms, validate, and deploy models to achieve business results. Perform necessary data preparation and enhancements to models

• Develop and deliver core data science and analytics solutions. Candidate should have strong expertise in statistics, AI and ML theories/concepts, and good domain expertise either in space operations, engineering, supply chain, sales or manufacturing

• Utilize advanced processing pipelines and other tools to analyze and exploit remotely sensed data to produce and disseminate products

• Analyze and parse data in a variety of geospatial file formats and databases for machine learning and algorithm optimization, testing, and validation

• Provide technical leadership to teams performing exploitation and process development

• Create and deliver technical briefings and reports. Candidate will interface directly with senior business leaders and stakeholders to architect and lead the development of advanced analytics solutions supporting spacecraft operations

• Employ mathematical principles to evaluate, develop, and select processing techniques, optimizing calibration, background suppression, signal augmentation, target detection, geolocation, and multi-target and multi-sensor tracking of dim targets

• Design, operate, improve, optimize, and deploy scientific image processing and geospatial algorithms

• Leverage end-to-end data exploitation and analytics knowledge to validate novel image and signal processing algorithms

• Apply end-to-end knowledge of data exploitation and data analytics to provide independent verification and validation of new image and signal processing algorithms and inform trade studies to optimize performance of space payloads

• Craft innovative, multi phenomenology solutions, specialized visualizations, and analytical reports for customers

• Bachelors degree in Electrical, Computer, Aerospace, or other relevant engineering and 9 years of related experience; or MS degree and 7 years of related experience required

• Strong proficiency digital…