Data Products Team Lead at Millennium Space Systems

El Segundo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

273750.0

Posted On

05 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Artificial Intelligence, Statistics, Geospatial Analysis, Data Science, Technical Leadership, Algorithm Development, Signal Processing, Cloud Infrastructure, Digital Communications, Team Management, Data Preparation, Model Validation, Image Processing, Data Exploitation

Industry

Defense and Space Manufacturing

Description

Company Overview 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. Job Summary 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. This position's internal job code is Systems Engineer. Our team is currently hiring for a level 6. Responsibilities 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 Minimum Qualifications Advanced degree in Electrical, Computer, Aerospace, or other relevant engineering Strong proficiency digital communications architectures, networking, and cloud infrastructure Strong proficiency with common version control, defect/task tracking, and documentation systems Demonstrated experience leading a team Must be versatile and able to perform and manage multiple tasks concurrently This position requires an active U.S. Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) Preferred Qualifications Experience with DevSecOps, infrastructure and system maintenance 2 years managing a functional team or equivalent Familiarity with machine learning/AI concepts and tools Summary Pay-Range Please note that the salary information shown below is a general guideline only of what is reasonably expected to be paid for the position. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. Level 6: $186,150 - $273,750 Before applying, please note: Millennium is DDTC-registered, ITAR-compliant Company. This position is located at a facility that requires special access. Applicants MUST be U.S. citizens and eligible for a security clearance. Additionally, applicants must be willing to apply for and maintain a security clearance. We encourage all interested candidates to apply for any open position for which they feel they are qualified. Applicant Privacy Policy Mandatory Security Clearance and Access Process Disqualifying Criteria

Responsibilities

Lead project teams in developing innovative, reusable, and scalable solutions for AI & ML products. Analyze multi-sensor data and provide technical leadership to teams while interfacing with senior business leaders.