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Associate Scientist, Data

Company: Careerbuilder-US
Location: Mountain View
Posted on: November 22, 2021

Job Description:

The Universities Space Research Association (USRA) has a mission to advance space-related sciences and exploration through innovative research, technology, and education programs that involve universities, governments, and the private sector for the benefit of humanity. Supporting that mission, the USRA Research Institute for Advanced Computer Science (RIACS) supports multiple NASA teams through USRA's management of the NASA Academic Mission Services (NAMS) Program at NASA's Ames Research Center. This includes support for projects with the NASA Aeronautics Research Institute (NARI), the NASA Aviation Systems Division, the NASA Intelligent Systems Division, and the NASA Advanced Supercomputing Division.

Position Summary:

The Interdisciplinary Associate Data Scientist will conduct machine learning research and development to a portfolio of NASA applications with focus on aeronautics projects such as Sustainable Aviation and Advanced Air Mobility (AAM). Sustainable aviation research focuses on enabling carbon-neutral growth in aviation, and Advanced Air Mobility focuses on enabling improved operations for disaster preparedness, response and recovery (e.g., for wildfires). The Interdisciplinary Associate Data Scientist will work under the direction of Scientists, Senior Scientists, and/or Project Managers to support project deliverables. The Interdisciplinary Associate Data Scientist may also be involved with development of proposals for new collaborations involving both academia and industry, for joint public-private initiatives to address key national challenges.

Essential Duties/Responsibilities:
Satisfy USRA's non-profit mission by making a distinctive impact through scientific and technical accomplishments in the assigned projects. Works under the direction of Scientists or Senior Scientists and Project Managers in attaining the goals of research projects, which can include software development and/or user support.
Demonstrates a capability for conducting an independent research program.
Prepare data science curriculum and perform online instruction.
Prepare presentations and reports as required, and present results at conferences and publish papers as appropriate.
Engage academic, industrial, and government research communities in collaborative research through activities such as seminars and other talks, workshops, and conferences.
Act as a mentor for student interns involved in machine learning research.
Maintain an awareness of funding opportunities, and support and/or lead proposal activities as approved.

Act safely, ethically and in compliance with all laws and regulations and USRA policies and procedures including: Ensure the protection of intellectual property including submitting new technology disclosures and supporting patent applications.
Ensure export control compliance related to ITAR/EAR regulations.
Ensure compliance with all policies such as for timesheets and travel.
Complete all trainings as scheduled.

Other job-related duties as assigned
Required Qualifications

Education:
M.S. degree (Ph.D. preferred) in Data Science, Computer Science or a related discipline
Skills
Excellent coding skills in Python and other relevant languages, and familiarity with various software platforms and frameworks.
Requires familiarity with efficient data manipulation techniques with various data mining and machine learning methods applied to "Big data", data with large volume, high velocity, high variability and changing definitions
Be familiar with typical "applied data mining research: Assessment of existing methods' suitability for application for targeted problem, articulate inadequacies in methods if any exist
Formulate and develop new methods or modifications of existing methods for target problems
Ensure transparency of algorithms to user experience; develop software and visualization modes of presentation and interaction
Desired Experience:
Internships and/or work experience with data sciences including machine learning and high-performance computing.
Knowledge, Skills and Abilities:
Ability to work independently and effectively as part of a multidisciplinary team.
Ability to prioritize tasks, coordinates work of others, and meets multiple deadlines.
Ability to write technical reports and peer reviewed publications.
Ability to communicate through conference presentations, seminars and other forums.
Ability to propose credible and innovative research projects, develop the necessary skills to perform the work, and carry out the research, providing the required reporting to the granting agency in a timely fashion.
Ability to interpret USRA and Federal Policies and Procedures necessary to function in a scientific research environment that is enabled through U.S. Government funds.
Advanced experimental and analytical skills.
Model USRA's core values: Passion (for science, technology and education);
Partnerships (with universities, governments, and the private sector); and
Professionalism (through excellence, accountability, and respect for others).

Working Conditions :

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, etc. Keyboarding for large time spans each day will be a significant part of this position. This is largely a sedentary role.
Travel :

Employee must be willing and able to travel. Position may require domestic and international business travel.

Applicants should apply to the posting at USRA Careers and include a letter of interest, resume, or curriculum vita. Additional information on USRA can be found at www.usra.edu .

Effective December 8, all USRA employees must be fully vaccinated (2 weeks past final dose) unless they are entitled to a reasonable and legal accommodation. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your HR Recruiter for further information.

USRA is an Equal Opportunity Employer: Minorities / Females / Protected Veterans / Disabled / Sexual Orientation / Gender Identity.

Keywords: Careerbuilder-US, Mountain View , Associate Scientist, Data, Other , Mountain View, California

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