Job description

Who We Are

Globalstar pioneered personal safety by introducing its SPOT Satellite GPS Messenger in 2007. Today, leveraging its low-earth orbit (LEO) satellite constellation, Globalstar reliably connects and protects assets, transmits key operational data, and saves lives – from any location – for consumers, industrial companies and government agencies in over 120 countries. With a portfolio that includes SPOT GPS messengers, next-generation IoT products and modems, and cloud-based telematics solutions, Globalstar’s cost effective satellite-powered innovations give users visibility and intelligence for improving safety and operational efficiencies.

What We Offer

  • Work/Life Balance: Paid Time Off, Paid Holidays
  • Financial Benefits: 401(k) Plan with Company Match, Employee Stock Purchase Program, Voluntary and Company Paid Group Life Insurance, Short- and Long-Term Disability Insurance, Medical FSA, Dependent Care, Competitive Salaries
  • Health & Wellness: Health Insurance, Dental Insurance, Vision Insurance, Employee Assistance Program, Comprehensive and Interactive Wellness Program

Job Summary

Globalstar is seeking a Data Scientist to join a cross-functional team that provides data analytics support across all technical areas of the company. The candidate should have a strong background in SQL and Python as well as mathematical/statistical analysis and data visualization. The role requires the Data Scientist to build a deep understanding of the underlying datasets while working with system owners to validate their analyses.

Supervisory Responsibilities

  • None

Duties/Responsibilities

  • Build metrics collection pipelines from distributed infrastructure systems
  • Integrate and clean large datasets from disparate sources
  • Work with system owners to establish Service Level Objectives for their systems
  • Work with Operations and Reliability Engineers to develop dashboards and alerts
  • Work with Systems Engineers to analyze large datasets of real-world system performance data to inform design decisions and optimize network performance
  • Measure the accuracy of simulation models compared to operational data at scale

Required Skills/Abilities

  • Familiarity with AWS data pipeline tools (S3, Kinesis, Kinesis Analytics, etc)
  • Familiarity with data visualization tools such as Matplotlib, R, Matlab, Tableau, Microsoft PowerBI, or Grafana
  • General understanding of electrical engineering principles desired but not required

Education And Experience

  • Bachelor's or higher degree program of Data Science, Statistics, Mathematics, Computer Science, Information Systems, Physics or Computer Engineering
  • At least 3 years of data analytics experience
  • Proficiency in programming languages such as Python, R, and/or Matlab
  • Strong background in SQL databases (e.g. optimizing complex queries for large datasets)

Physical Requirements

  • Prolonged periods of sitting at a desk and working on a computer

Globalstar is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

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