Senior GNSS Data Scientist

University of Texas at AustinAustin, TX
$104,000 - $174,000Onsite

About The Position

Design, develop, and maintain software and systems for the collection, processing, and analysis of satellite navigation signals in the Space and Geophysics Laboratory (SGL). This role involves independently developing new data processing and analysis software using Python, C/C++, or scripting to meet project objectives. The position also requires performing analysis of observation and navigation data using established software tools, repositories, and libraries, contributing to the characterization of GPS/GNSS, and identifying improvements and new methods for data collection and analysis. The Senior GNSS Data Scientist will evaluate and develop new metrics, algorithms, and processing techniques for modernized GPS and GNSS signals, and contribute to testing and routine assessments of GPS and GNSS receiver performance. Additionally, this role includes guiding project reviews and technical interface meetings, identifying future analytical software and hardware resource requirements, assisting with data archive organization and maintenance, and further developing knowledge of GNSS and related domains. Mentoring fellow staff and becoming a subject matter expert are also key aspects of this position, along with documenting progress and completion of work, and performing other related functions as assigned.

Requirements

  • Bachelor's degree in Science, Engineering, Computer Science, or related field.
  • Three years of related experience in Python or C/C++.
  • Three years of related data analysis experience.
  • Applicant must have a dynamic skill set, be willing to work with new technologies, be highly organized and capable of planning and coordinating multiple tasks.
  • The position will require attention to detail, effective problem-solving skills and excellent judgment.
  • Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without daily supervision and effectively communicate with all groups of clients.
  • Able to work under pressure and accept supervision.
  • Regular and punctual attendance.
  • US Citizen.
  • Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.

Nice To Haves

  • Five or more years of GPS/GNSS coursework or experience.
  • Five or more years of work experience with revision control systems such as Gitlab.
  • Extensive experience and proficiency with Python and C/C++.
  • Professional experience as a software developer.
  • Understanding of data analysis and processing within AWS cloud infrastructure.
  • Knowledge of design and development of digital signal processing (DSP) algorithms and techniques.
  • Experience with SQL and relational databases.
  • Cumulative GPA of 3.0 with a GPA of 3.5 in major coursework.

Responsibilities

  • Independently develop new data processing and analysis software as required using Python, C/C++, or scripting to satisfy project objectives.
  • Perform analysis of observation and navigation data using established software tools, repositories and libraries in accordance with established internal practices.
  • Contribute to analyses and characterizations of GPS/GNSS
  • Identify improvements and new methods for GPS/GNSS data collection and analysis.
  • Evaluate and develop new metrics, algorithms, processing techniques with modernized GPS and GNSS signals.
  • Contribute to testing and routine assessments of GPS and GNSS receiver performance.
  • Guide project reviews and technical interface meetings.
  • Identify future analytical software and hardware resource requirements.
  • Assist with data archive organization and maintenance.
  • Further develop knowledge of GNSS and related domains.
  • Mentor fellow staff and become a subject matter expert.
  • Document progress and completion of work.
  • Other related functions as assigned.

Benefits

  • 100% employer-paid basic medical coverage
  • Retirement contributions
  • Paid vacation and sick time
  • Paid holidays
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