Leidos is a Fortune 500™ company aimed at embracing and solving some of the world’s most pressing challenges. Through science and technology, Leidos makes the world safer, healthier and more efficient.
Our Civil Group offers an array of exciting career opportunities for the best IT, energy, logistics and engineering professionals.
The Leidos Civil Group is seeking a Junior Data Scientist for its role on the Mission Execution and Strategic Analysis (MESA) contract in support of the U.S. Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) at its site in Pittsburgh, PA or Morgantown, WV. NETL conducts a broad range of research activities that support DOE’s mission to advance the national, economic, and energy security of the United States while providing clean, reliable, and affordable energy to the Nation. https://www.netl.doe.gov/
The Junior Data Scientist will support NETL in the conduct of systems engineering and analysis studies focused on a variety of energy pathways including energy process analysis, energy markets analysis, life cycle analysis, and subsurface energy analysis. Some examples of these analyses include:
Conducting techno-economic analyses of the impacts of laboratory-scale research and new/proposed legislation on power generation modalities at large, and carbon (CO2) capture, utilization, and storage.
Cost modeling and infrastructure life assessment.
Predicting power usage demand, grid reliability, and oil and gas supply and demand.
Clustering analysis, classification.
Interaction with power generation and environmental technology developers, vendors, and stakeholders (e.g., utilities, institutions, research organizations and laboratories).
The successful candidate will be responsible for the following:
Learn and assess technologies, data, tools, operations, and regulations related to energy systems.
Attend meetings and contribute to the development of items that include, but are not limited to, graphs, tables, technical summary reports, journal articles, and presentations on findings and innovative solutions.
Work individually and on local and geographically dispersed teams with other engineers, scientists, technicians, subject matter experts, faculty members, post-doctoral students, and graduate and undergraduate students from various technical, socio-economic, cultural, and ethnic backgrounds to collaboratively generate solutions to energy challenges based on sound scientific and engineering principles.
There may be occasional travel to technical conferences and meetings within the continental United States.
Bachelor’s Degree in chemical engineering, mechanical engineering, or other quantitative or analytical fields, such as computer science, mathematics, economics, statistics, data analytics, or computational social science, as well as 2+ years of experience.
Proven expertise in MS Office (Excel, PowerPoint, etc.).
Data analysis using one or more scripting languages such as R or Python; and Relational Database Services like PostgreSQL, MySQL, etc.
Familiarity with (1) core data analytical concepts like rigorous data collection, data cleaning operations, data wrangling; (2) data visualization (scatterplots, area graphs, boxplots, tornado plots, etc.), and; (3) geospatial visualization tools, such as ArcGIS, CARTO, Mapbox, etc., is a plus.
Familiarity with core statistical concepts including descriptive statistics; standard probability distributions; and regression analysis.
Knowledge of econometrics is a plus.
Familiarity with linear programming tools (Pyomo/GAMS, etc.) and version control (git).
Ability to achieve competency with new data tools quickly.
Successful candidates will be detail-oriented, able to take initiative, and work well both independently and as a member of a team to meet multiple deadlines. They will demonstrate competency in scientific and engineering modeling and analysis tools applicable to the specific tasks.
They will possess strong oral and written communications skills, particularly, the ability to:
Analyze and interpret data generated from research and clearly report results.
Author/co-author reports, manuscripts, and articles suitable for inclusion in refereed journals.
Present research results in work environments and at public settings at conferences or virtually.
Master’s degree in chemical engineering, mechanical engineering, economics, or other interdisciplinary fields, such as data analytics, public policy, or environmental science.
Familiarity with various types of machine learning and related algorithms: (1) supervised algorithms – boosting and bagging, decision trees, SVMs, logistic regression; (2) unsupervised learning – K-means clustering, hierarchical, Gaussian Mixture Models; and (3) deep learning models – feedforward, CNN, LSTM networks (bonus).
Experience with visualization tools like Tableau and mapping tools like ArcGIS.
Experience with energy software like PROMOD, ABB Velocity Suite, Aspen, S&P Global Market Intelligence, and the Energy Information Administration’s National Energy Modeling System (NEMS).
Familiarity with government public datasets (EIA, EPA, NOAA, Census datasets, etc.).
Knowledge and understanding of energy technology and infrastructure such as pulverized coal power plants, natural gas combined cycle plants, oxy-combustion, carbon capture (pre- and post-combustion), energy storage concepts (thermal, electrical, mechanical), subsurface energy resources (onshore and offshore carbon storage, enhanced oil recovery), and large-scale project economics and financing.
Driven by our talented workforce, the Federal Energy, Environment and Commerce Operation builds trust through an array of energy-related IT, environmental science and engineering solutions to meet our customers’ needs.
- Large Infrastructure
- Mission Support
- Digital Modernization
- Command & Control
- Mission Applications
- Environmental Science
- Nuclear Security
- Engineering Services
We value and support the well-being and mobility of our employees with competitive benefit packages, complementary e-learning training, work-life flexibility, an exciting External Referral Program, and a diverse, inclusive and ethical work place. In fact, in 2020, Leidos was ranked as one of the “World's Most Ethical Companies” by the Ethisphere Institute for the third consecutive year.
External Referral Bonus:Ineligible
Potential for Telework:Yes, 100%
Clearance Level Required:None
Travel:Yes, 10% of the time
Scheduled Weekly Hours:40
Job Family:Data Scientist
Leidos is a Fortune 500® information technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, homeland security, civil, and health markets. The company’s 38,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Va., Leidos reported annual revenues of approximately $11.09 billion for the fiscal year ended January 3, 2020. 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
Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to [email protected].
Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.