GTI Energy is building new initiatives to support significant business growth objectives and build business value well into the next decade through commercialization of technologies and integrated solutions needed in the transition to low-carbon, low-cost energy systems. GTI Energy is seeking a Data Science Intern to join our Digital Innovation team to enhance our capabilities in statistics and data science by strengthening and supporting enterprise-wide strategic initiatives.
Requirements
- Experience using data visualization techniques and programming libraries (e.g., scatterplots, boxplots, ggplot2, pandas, matplotlib)
- Ability to wrangle and process data using programming libraries (e.g., tidyverse, pandas)
- Familiarity with and ability to implement basic statistical analyses and concepts, such as t-tests, linear regression, hypothesis testing, and confidence intervals, and machine learning techniques, such as classification, clustering, and predictive modeling
- Familiarity with advanced statistical methods such as Bayesian analysis, time-series or spatial analyses, or survey statistics a plus
- GIS experience is a plus
Responsibilities
- Perform exploratory data analyses and apply statistical modeling and machine learning approaches to answer research questions and develop tools to support data-driven decision making
- Scrape and wrangle data from open-source repositories
- Create data visualizations and dashboards to communicate insights and findings to stakeholders
- Develop presentations and written reports to communicate findings
- Develop unique approaches to investigating key research questions, including leading programs related to methane emissions mitigation, digitalization in energy, and net zero energy systems
- Support ongoing research efforts using a disciplined approach and standard best practices
- Participate in 1-on-1 and team meetings and contribute to team projects
Other
- Currently enrolled in or completed within the last year a Bachelor or Master’s degree program in computer science, data science, statistics, mathematics or related field
- Experience demonstrating ability to communicate technical statistical/analytical concepts a plus
- Policy and Regulation knowledge related to energy is a plus
- Familiarity with/interest in environmental justice
- General knowledge of the energy industry, particularly related to the natural gas supply chain (including emissions management), hydrogen, energy efficiency, or engineering m
