Data Scientist identifies trends, patterns, and anomalies found in big data sets by performing extensive data analysis to develop insights. Performs data mining, cleaning, and aggregation processes to prepare data, implement data models, conduct analysis, and develop databases. Being a Data Scientist interprets results from multiple structured and unstructured data sources using programming, statistical, and analytical techniques and tools. Collaborates with teams to understand each data analysis projects' underlying purpose, focus, and objectives. Additionally, Data Scientist designs, develops, and implements the most valuable data-driven solutions for the organization. May require a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager. The Data Scientist work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Scientist typically requires 0-2 years of related experience. (Copyright 2024 Salary.com)
Description
Leidos supporting the National Energy Technology Laboratory (NETL) is seeking a Geospatial Data Scientist to join our team. This is an opportunity to execute fundamental and applied research with world-class scientists and engineers using state of the art equipment to perform research aligned with the goals of the U.S. Department of Energy, including carbon management, critical minerals, and energy infrastructure analytics.
This position is required to work on site 3 days a week at the lab in Albany, OR (preferred) or Morgantown, WV. The other 2 days may be worked from their local home office. This is not a fully remote position. Applicants not in the Albany, OR or Morgantown, WV area or willing to relocate to the Albany, OR or Morgantown, WV area will not be considered.
Primary Responsibilities:
Required Education & Experience:
Other Requirements:
Preferred Qualifications:
Salary Range for this position: $75K to $90K
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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