Data Scientist II
Do you excel in an environment that values exploration and discovery? We have a universe of opportunities waiting for you!
New ideas are all around us, but only a few will change the world. That is our focus at JPL. We ask the biggest questions, and then search the universe for answers—literally. We build upon ideas that have guided generations, and 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 are driven to discover, create, and inspire something, that lasts a lifetime and beyond, you are ready for JPL.
JPL's Instrument Software and Science Data Systems Section (Org. 398) consist of multidisciplinary teams of engineers and technologists who provide expertise across the domains of instrument operations and science data systems.
We are responsible for:
- Safely controlling JPL remote sensing instruments.
- Transforming data collected by these instruments into scientific measurements and preserving them for future analyses.
- Providing context and understanding to the measurements.
- Making the measurements and related information accessible to a broad and global user community: scientists, operations, decision makers and society.
Our engineering teams build and operate high performance data processing, management and analysis systems capable of handling petabyte scale datasets in support of science discovery, research, operations and applications.
We support JPL and NASA missions, as well as other science-based projects. Our research and technology development teams create new onboard and ground based technologies for data processing, analysis, modeling, reasoning, visualization, management, access and analytics that are infused into our data systems.
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.
We aim to do things never done before and to go places few can go. We dare mighty things…do you?
As a member of the Machine Learning And Instrument AutonomyGroup (Org. 398J) you will report to the Technical Group Supervisor.
Responsibilities include but are not limited to:
- Conduct research and development of ML technologies for application to science and engineering challenges.
- Implement algorithms and data processing methods for airborne and satellite remote sensing platforms and planetary surface missions.
- Collaborate with domain experts from a variety of natural science fields.
- Publicize practical and theoretical work through peer-reviewed conference, workshop, and journal papers.
- Assist in obtaining funding through competitive grant proposals.
- Must have a Degree in Computer Science, Electrical Engineering, or related technical discipline. Bachelors with 3 years of related experience, Masters with 1 years of related experience, PhD with 0 years of related experience.
- Must have a minimum of a 3.0gpa on a 4.0 scale.
- Msut have broad knowledge of traditional and deep ML such as methods for time series analysis, image analysis, classification, and regression.
- Extensive understanding and application of advanced principles, theories, concepts, and techniques in statistical pattern recognition, image and signal processing, and algorithm design.
- Demonstrated experience implementing maintainable and reusable software for scientific applications required.
- Significant programming experience with Python including NumPy / scikit-learn.
- Demonstrated experience with software engineering best practices including unit and regression testing.
- Excellence in extracting meaningful conclusions, identifying driving features, and tradeoff analysis.
- Demonstrated task leadership and independent research capabilities.
- Strong written and oral communication skills including data visualization, presentation, and explanation of results.
- Strong analytical and mathematical skills.
- Team-building mentality, can-do attitude, and commitment to project success.
- Significant programming experience with C/C++
- Fluency in applied probability and statistics, linear algebra, and numeric optimization.
- Track record of technical papers in peer reviewed publications / presentations.
- Working knowledge of Earth Science / Atmospheric Science / Planetary Science / Physics / Astronomy / Geology.
- Experience analyzing remote sensing / scientific data sets.
- A love of space, exploration, and science.
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JPL is an equal employment opportunity and affirmative action employer and will, whenever possible, actively recruit and include for employment members of underrepresented minority groups, females, disabled veterans, protected veterans, and otherwise qualified persons with disabilities. JPL will hire, transfer, and promote based on the qualifications of the individual to ensure equal consideration and fair treatment of all.
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If you are interested in applying for employment with Jet Propulsion Laboratory and need special assistance or an accommodation to apply for a posted position, contact our Human Resources department at (818) 354-5150 or via email at Staffing@jpl.nasa.gov.
Written requests may be mailed to: Jet Propulsion Laboratory, Attention: Staffing and Employment Programs, 4800 Oak Grove Drive, Mail Stop T1720C, Pasadena, CA 91109