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Scientist, Data Sciences

Employer
Universities Space Research Association
Location
Mountain View, CA
Closing date
Jul 5, 2022

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Job Description
The Data Scientist will conduct machine learning research and development for a portfolio of NASA applications with focus on aeronautics projects such as Sustainable Aviation, Digital Data Services, and/or Advanced Air Mobility. The Scientist will work on a collaborative team with other researchers and engineers and may serve in the role of Principal Investigator (PI), Co-PI, Project Scientist, or Project Lead for one or more significant projects leading the work of other project team members. The 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.
    • Provide expertise in predictive analytics techniques, system modeling, and data analysis.
    • Develop and customize machine learning algorithms in Python for achieving end results.
    • Plan, schedule, and conduct activities in all phases of one or more significant research projects, as a PI, Co-PI, Project Scientist, or Project Lead.
    • Prepare presentations and reports as required, 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.
    • Coordinate activities of project personnel with possible supervisory responsibility.
    • 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, 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 & Experience:
  • Ph.D. degree in Data Science, Computer Science, Aerospace Engineering, or a related discipline.
  • Minimum five years of experience in data science and machine learning.
  • Background in aeronautics, air traffic management, or unmanned aerial vehicles is a plus.

Skills:
  • Proven experience in machine learning techniques - data mining, text analytics, predictive modeling.
  • High-level, hands-on experience in Python, SQL, and other relevant languages and familiarity with various software platforms and frameworks.
  • Expertise 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.
  • Experience with formulating and developing new methods or modifications of existing methods for target problems.
  • Familiarity with typical applied data mining research, such as assessing whether existing methods are suitable for the targeted problem and articulating inadequacies in methods, if any exist.
  • Advanced experimental and analytical skills.

Knowledge and Abilities:
  • Ability to work independently and effectively as part of a multidisciplinary team.
  • Ability to prioritize tasks, coordinate work with others, and meet multiple deadlines.
  • Ability to write technical reports and peer reviewed publications.
  • Ability to communicate through conference presentations, seminars, and other forums.
  • Model USRA's core values:
    • Passion (for science, technology, and education).
    • Partnerships (with universities, governments, and the private sector).
    • Professionalism (through excellence, accountability, and respect for others).

USRA cares about:
  • Your career growth, your ideas, your work life balance, and your well-being with our comprehensive medical, dental, vision, 401(k), tuition reimbursement, and other employee benefits.
  • Promoting Diversity, Equity, and Inclusion in our workforce development and outreach efforts.
  • Our company culture and core values that empower a thriving environment for innovative and significant contributions to science and technology.
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.
About USRA:
Universities Space Research Association (USRA) is an independent, nonprofit research corporation where the combined efforts of in-house talent and university-based expertise merge to advance aeronautics and space science and technology. 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), NASA Aviation Systems Division, NASA Intelligent Systems Division, and the NASA Advanced Supercomputing Division.

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.

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.

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