Oak Ridge National Laboratory

Environmental Data Science Engineer

Oak Ridge National Laboratory$80K — $110K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's Degree in Computer Science, Information Science, or related field
  • 1.5 years of post-graduate experience in developing scientific data management tools
  • Experience with frameworks like D3.js, ExpressJS, Node.js, Java 7/8, Spring Boot, Webservices, and Python
  • Knowledge of geospatial web tools for visualization and real-time data analysis
  • Background in High-Performance Computing (HPC) and databases like PostgreSQL or MySQL
  • Good communication skills in English, both written and oral
  • Willingness to travel for national conferences.

Responsibilities

  • Apply advanced data science methods to Earth and Environmental sciences
  • Design and implement data-driven solutions for data management
  • Develop tools for managing large sensor data and other sources
  • Utilize big data technologies for large data analysis
  • Create geospatial web tools for advanced visualization
  • Collaborate in a DEV/OPS research environment
  • Contribute to the enhancement of programming practices in environmental data applications.

Benefits

  • Potential relocation package available
  • Occasional remote work permitted within commuting distance
  • Opportunity to attend national conferences
  • Access to cutting-edge data science tools and technologies
  • Engagement in meaningful work supporting DOE's missions.
Full Job Description
Requisition Id 16401

Oak Ridge National Laboratory has multiple openings for an Environmental Data Science Engineer in Oak Ridge, TN, to apply advanced data science methods, tools, and techniques to the design, development, and implementation of data-driven solutions to help link advanced informatics and computer science to data management and distribution in Earth and Environmental sciences in support of DOE's science, energy, and national security missions. Requires a Master's Degree in Computer Science, Information Science or related field, and 1.5 years of full time, post degree experience developing scientific data management tools to manage a large volume of sensor and other sources. Experience must include: Working with frameworks such as D3.js, ExpressJS, and Node.js, Java 7/8, Spring Boot, Webservices, and Python; Developing geospatial web tools for advanced visualization and real-time data analysis; Working in a DEV/OPS research environment and a solid understanding of source control using Git or a similar version control systems; Applying big data technologies such as Cassandra, Spark, GraphQL, or others to analyze large and diverse environmental data. Also requires: Proven background in real-world computer programming applied to ecological and environmental science applications; Familiarity with High-Performance Computing (HPC); Demonstrated applied knowledge in databases such as PostgreSQL or MySQL; Demonstrable knowledge in programming languages such as Java and Python; Good communication skills in English (both oral and written); Desire to learn and adopt new tools and technologies as required by the projects; and Willingness to travel 3-4 times per year to national conferences. Occasional remote work within commuting distance is permitted. Apply via the following link: ADD LINK or email [redacted]. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email [redacted]. For information about our benefits, working here, and living here, visit the "About" tab at jobs.ornl.gov. Relocation package may be available.

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

About Oak Ridge National Laboratory

Oak Ridge National Laboratory (ORNL) is a science and technology national laboratory managed for the United States Department of Energy (DOE) by UT-Battelle. ORNL is the largest science and energy national laboratory in the Department of Energy system by size and by annual budget. ORNL conducts research and development activities in a variety of scientific and technical disciplines. ORNL's scientific programs focus on materials, neutron science, energy, high-performance computing, systems biology and national security. ORNL partners with other national laboratories, universities and industry to solve complex problems and transfer knowledge and technology. ORNL is home to several of the world's most powerful supercomputers, including Summit, the world's most powerful supercomputer as of November 2018.
Learn more about Oak Ridge National Laboratory
Size
5,000 employees
Industry
Founded
1943

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