Leidos
Lead Data Scientist
Leidos, Pittsburgh, Pennsylvania, us, 15289
DescriptionWe are looking for a highly motivated
Lead Data Scientist
to join our team at the U.S. Department of Energy's National Energy Technology Laboratory (NETL) in Pittsburgh, PA. In this role, you will collaborate with a diverse team of scientists and engineers to drive innovative solutions for the country's energy challenges. Your primary focus will be on accelerating carbon management and mitigating methane emissions.Location: This position is based at the NETL lab in Pittsburgh, PA. Candidates near (or willing to relocate to) the Pittsburgh, PA area will be considered.Responsibilities:Lead data analysis activities and develop statistical and machine learning models.Aggregate and process engineering and geologic data for subsurface energy operations.Collaborate with interdisciplinary teams to accomplish project tasks.Interpret model outputs and document findings.Requirements:Master's degree in computer science, engineering, natural science, geology, or related field with 3+ years of data science experience.Experience with probability, statistics, and communicating technical findings.Familiarity with the oil/gas industry.Preferred Qualifications:History of publishing work in peer-reviewed journals.Expertise with subsurface energy infrastructure and AI/ML algorithms.Experience working for a U.S. national laboratory.Salary Range:
$95K to $100K
Lead Data Scientist
to join our team at the U.S. Department of Energy's National Energy Technology Laboratory (NETL) in Pittsburgh, PA. In this role, you will collaborate with a diverse team of scientists and engineers to drive innovative solutions for the country's energy challenges. Your primary focus will be on accelerating carbon management and mitigating methane emissions.Location: This position is based at the NETL lab in Pittsburgh, PA. Candidates near (or willing to relocate to) the Pittsburgh, PA area will be considered.Responsibilities:Lead data analysis activities and develop statistical and machine learning models.Aggregate and process engineering and geologic data for subsurface energy operations.Collaborate with interdisciplinary teams to accomplish project tasks.Interpret model outputs and document findings.Requirements:Master's degree in computer science, engineering, natural science, geology, or related field with 3+ years of data science experience.Experience with probability, statistics, and communicating technical findings.Familiarity with the oil/gas industry.Preferred Qualifications:History of publishing work in peer-reviewed journals.Expertise with subsurface energy infrastructure and AI/ML algorithms.Experience working for a U.S. national laboratory.Salary Range:
$95K to $100K