Geospatial Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Data Analysis, Data Analytics, Data management, Data pipelines, Data science techniques, Effective communication skills, Environmental, Esri suite, GDAL, Geoscience, Geospatial Statistical, GIS, Infrastructure as code, Leadership Skill, Machine learning techniques, Maintenance, Metadata, MS Dynamics, Pandas, Presentation skills, Project management, Python Programming, Regulatory Compliance, Sales - Client Acquisition, Software Development, Spatial Computing, Statistical modeling, System identification, Teamwork

Job Description

The Leidos Research Support team supporting the National Energy Technology Laboratory (NETL) is seeking a Geospatial Data Scientist to join our team in Morgantown, WV, or Albany, OR. 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 and energy infrastructure analytics.

This position is required to work on site at the lab in either Albany, OR or Morgantown, WV, 75% of the time. The other 25% 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:

• Support the identification, acquisition, processing, and integration of non-spatial and spatial data using Geographic Information System (GIS) software and Python scripting.
• Identify credible data sources through extensive literature reviews and online research, then acquire and process data for further analytics.
• Support quality assurance and control of geospatial data products and associated metadata prior to public release.
• Support scientific, spatial, and statistical analytics, as well as utilize appropriate artificial intelligence and machine learning algorithms support energy research.
• Collaborate with interdisciplinary team, including geologists, geographers, chemists, computer scientists, environmental scientists, and other researchers to assist each other in accomplishing project related tasks.
• Build and maintain relationships with internal and external clients.
• Assist in writing methods, results, and data interpretations for publications in high quality, scientific peer-reviewed journals, and technical reports.
• Develop and present results for oral or poster presentation at staff meetings and professional conferences.
• Provide weekly and monthly technical updates to research team members and project management.

Required Education & Experience:

• Bachelors degree in Geography, Environmental Sciences, Data Science, Petroleum Engineering, or related field with 4+ years relevant work experience programming in Python for non-spatial and spatial data acquisition, processing, and analytics
• OR Master’s degree in Geography, Environmental Sciences, Data Science, Petroleum Engineering, or related field with 2+ years relevant work experience programming in Python for non-spatial and spatial data acquisition, processing, and analytics
• Competent in non-spatial and spatial data management, handling, and analytics using GIS software, as well as Python libraries (e.g., arcpy, gdal, ogr, pandas).
• Expert in ESRI products (i.e., ArcPro, ArcEnterprise).
• Experience developing ESRI Web Applications, including Experience Builder and Dashboards
• Experience working with energy regulator and infrastructure datasets including production and service records, such as permitting, inspection, and maintenance records.
• Experience selecting and applying appropriate spatial and statistical analysis, as well as artificial intelligence (AI) and machine learning (ML) algorithms.
• Experienced in data analysis, report development, scientific writing, and presentation of results.
• Experience in communicating science to a range of audiences (I.e., academic conference, technical audience, or high-level management).
• Has a basic understanding of energy infrastructure (e.g., wells, pipelines).
• Experience identifying, acquiring, and processing credible data (including tabular and spatial data) and metadata from online sources.
• Experience collaborating on a dynamic team.
• Leadership skills coordinating a team and/or projects.

Other Requirements Include:

• Must be able to meet the requirements for gaining access to work on the NETL campus.
• Must be a U.S. Citizen

Salary Range for this position: $90K to $100K

Pay Range:

Pay Range $81,250.00 - $146,875.00

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.

About Leidos

Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 47,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $14.4 billion for the fiscal year ended December 30, 2022. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

Securing Your Data

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