Scientific Applications Data Scientist IV

Responsibilities

• The Scientific Applications Data Scientist's tasks include but are not limited to:
• Implementation of updates to the L0 processing algorithms for sensors collecting data over complex surfaces and/or multi-angle viewing geometries.
• Design and implementation of software tools in support of the optical sensor calibration analysis.
• Development and execution of the processing scripts in support of the testing and validation activities for L1 and L2 data products.
• Leading initiatives leveraging self-supervised machine learning models and multi-sensor datasets to segment and track object instances (such as ships, wildfire fronts, smoke plumes, harmful algal blooms, and palm oil farms).
• Coordinating closely with the instrument PI, Algorithm Development Teams, DAAC, and other partner SDS elements to support end-to-end data processing and operations.
• Serve as a critical interface with the JPL Scientists and External Collaborators to lead and contribute to the publications and present results at the professional meetings.
• Partner with JPL instrument teams in providing data processing support in strategic mission formulation activities.
• Developing concepts for planning, scheduling, resource allocation, and execution of algorithms for on-board autonomous systems that interpret complex event data to take actions to achieve mission goals.
• Developing machine learning systems for interpretation of remote sensing imagery and large multi-modal models for reasoning about calibration, imagery, time, patterns, and ramifications.

Requirements

• Expertise in Java, C/C++, and Python.
• Expertise in Linux or Unix-based systems.
• Substantial experience developing, generalizing, and maintaining components of operational science data systems for major JPL missions and airborne programs, including MISR, Jason-3, SWOT, AirMSPI, and HyTES.
• Significant and varied experience in developing data-driven L2 retrieval techniques including aerosol and 3D cloud tomography.
• Broad knowledge and understanding of the principles underlying complex and large data acquisition, in-flight calibration, and physics-based atmospheric retrievals, involving scientific remote sensing instruments.
• Practical experience in Computer Vision techniques for Object Detection, instance segmentation, and multi-sensor tracking.
• Extensive knowledge of applicable industry and/or academic practices and standards for analysis of remote sensing data sets in response to science needs, and reporting of related results in journals, workshops, or conferences.
• Demonstrated ability to communicate scientific instruments in-flight calibration concepts to domain scientists.
• Demonstrated leadership credibility with staff, managem

Benefits

Additional Information

Job Details New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers-literally. We build upon ideas that have guided generations, then share our discoveries to inspire generations to come. Your mission-your opportunity-is to seek out the answers that bring us one step closer. If you're driven to discover, create, and inspire something that lasts a lifetime and beyond, you're ready for JPL. Located in Pasadena, California, JPL has a campus-like environment situated on 177 acres in the foothills of the San Gabriel Mountains and offers a work environment unlike any other: we inspire passion, foster innovation, build collaboration, and reward excellence.

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