Job Description: Research Data Scientist opportunity available to work with JPL's Machine Learning & Instrument Autonomy Group. The team employs rigorous, explainable Machine Learning (ML) methods to support scientific data investigation on the ground, inform spacecraft operations teams in a time-critical setting, infuse new capabilities into JPL’s space missions, and extend the reach of scientists beyond Earth by creating autonomous “smart” instruments that can recognize and prioritize discoveries. We eschew “black box” ML, and often our trained models are created and examined explicitly to shed light on complex data and increase human insight rather than to automate a process. We collaborate with scientists, spacecraft operators, and engineers to identify novel ways that ML and data-driven science can help achieve their goals. Finally, we infuse ML solutions throughout JPL and NASA to bring about a richer, deeper, and more complete understanding of our universe from the Earth to the stars. We measure the success of our applied ML systems in terms of human hours saved, additional discoveries made, or new questions that may be addressed. We also frequently act as ambassadors to science and engineering areas not yet familiar with data-driven approaches by teaching, explaining, and offering assistance to those ready to receive it in the complex and often risk/change-averse arena of space exploration. Job Responsibilities: Facilitate the infusion of high quality, data-driven technologies throughout JPL and NASA Provide strategic guidance on all aspects of data science at the group, section, division, and institutional level Drive the infusion of data-driven products into JPL missions, components, instruments, and processes Obtain competitive grant proposal funding, form multidisciplinary teams, and serve as Principle Investigator Collaborate with domain experts from a variety of natural science and space-related engineering fields Publicize practical and theoretical work through peer-reviewed conference, workshop, and journal papers Conduct R&D of ML and related technologies for application to science and engineering challenges Develop and lead algorithm and data processing methods for airborne and satellite remote sensing platforms, planetary surface missions, and novel instrument designs Job Requirements: Deep expertise in and dedication to rigorous validation and explainability for all analyses Strong written and oral communication skills including data visualization, presentation, and explanation of results Active reviewer for major data science / remote sensing journals and conferences Broad knowledge of traditional and deep ML for time series, image, and spectral analysis Demonstrated Principle Investigator leadership and independent, novel research capabilities Demonstrated success competitive proposal calls in space-related areas Demonstrated examples of software that are written to be maintainable, reusable, and follows best practices Excellence in extracting meaningful science-relevant conclusions, identifying driving features, and performing relevant tradeoff analyses that inform data exploration, build intuition, and address specific mission needs Typically requires degree in Computer Science, Electrical Engineering, or related technical discipline with a minimum of 9 years of experience, or a Master's with 7+ years experience or a Ph.D with 5+ years experience. Sustained record of high-quality ML and space data-oriented papers in respected, peer reviewed publications Job Details: Company: JPL Vacancy Type: Full Time Job Location: Fresno, CA, US Application Deadline: N/A Apply Here getyourvacancy.com
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