Job Description
**Internship Position -
Must be currently enrolled in Information Technology related program at a college or university** About The Energy Authority The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market.
TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve.
TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value.
If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you.
It's YOUR Future. It's OUR Future.
Be a Data Science Intern at The Energy Authority! Why You'll Love This Role: Join a dynamic team at the heart of innovation in energy markets. As a
Data Science Intern with our Corporate Analytics team, you'll work alongside passionate professionals with diverse expertise. Your contributions will be highly visible and impactful, helping public power utilities thrive. You'll solve challenging problems using machine learning, statistics, and advanced analytics. This role is designed to offer you continuous learning opportunities and the chance to see the direct impact of your work.
What You'll Do: - Design, develop, and refine advanced statistical and machine learning models to meet client objectives.
- Build intuitive tools and dashboards for internal and external stakeholders.
- Manage projects from initial research to production, ensuring a seamless lifecycle.
- Explore new methods for solving complex machine learning challenges.
- Follow best practices like code reviews and utilizing R packages and Git repositories.
- Apply your knowledge of statistics, data modeling, and advanced mathematics to extract valuable insights for our clients.
- Seek opportunities to generalize solutions that can benefit multiple clients.
- Present your results clearly, using both written and visual storytelling, to clients and internal teams.
Who You Are: - You hold (or are pursuing) a Bachelor's degree in Engineering, Mathematics, Data Science, or a related quantitative field. A Master's degree or higher in Statistics, Applied Mathematics, Physics, Data Science, or similar fields is a plus.
- You have experience with Operational Research as it pertains to Data Science.
- You have strong problem-solving and communication skills.
- You're proficient in data analytics using R/Python and have hands-on experience with statistical techniques and machine learning models such as Regression, Stochastic Modeling, Neural Networks, and more.
- You're comfortable working with SQL/noSQL databases and have a basic understanding of web design (HTML, CSS, JavaScript) with a preference for R-Shiny.
- You have a knack for writing clean, scalable, and reusable code.
- Familiarity with the Electric Utility Industry is preferred but not required.
Internship Details: - Duration: 3-6 months, with a minimum of 10 weeks full-time (40 hours/week). Part-time hours may be available after the initial 10 weeks.
- Location: Preference for candidates based in Seattle, WA and/or willing to relocate for at least 10 weeks. Remote candidates will also be considered.
Compensation: - Competitive base salary ranges based on role, level, and location: $26.00 - 35.00/Hour.
Education/Experience: Must be currently enrolled in Information Technology related program at a college or university .
If you're ready to contribute to high-impact projects and expand your skills in data science, TEA offers the perfect environment for your growth.
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Job Tags
Full time, Part time, Remote work, Relocation,