Intern - Data Science, Meteorology and Disaster Mitigation

Job Description

MidAmerican Energy Company is seeking students pursuing a bachelor's degree or higher in data analytics, computer science, management information systems, meteorology, or related field of study, graduating later than August 2025. Data Science Interns will gain understanding of key drivers of business and engage with analytics framework/tools to create value from data. The position is temporary, nonexempt, and full-time/hourly through the summer.

Company and Internship Program Overview

MidAmerican Energy Company one of the largest renewable energy producers in the U.S is headquartered in Des Moines, Iowa, safely meeting the energy needs of more than 1.6 million customers in Iowa, Illinois, Nebraska, and South Dakota. A subsidiary of Berkshire Hathaway Energy, we have more than 3,400 dedicated employees serving our customers every day across our service territory.

Interns will have the opportunity to participate in the annual three-day summer intern event in Des Moines, Iowa where they will tour state-of-the-art facilities, network with leadership, and gain a broader understanding of MidAmerican Energy Company. Other panels, lunch and learns, and events will be happening throughout the summer to give our interns the best experience.

Responsibilities

Primary Job Duties and Responsibilities

• Identify partner teams' key issues, interim solutions, and help solve business problems using meteorological insights and expertise.
• Collaborate with team members to design and develop advanced analytics projects.
• Develop data visualizations and dashboards using Power BI to present analytical model results as well as descriptive analytics.
• Effectively communicate and present results and project outcomes.
• Perform any additional responsibilities as requested or assigned.

Primary Deliverables

• Work with procurement and vendors (preferred vendor is Western Weather Group) to install weather stations at all areas of elevated fire risk for MidAmerican that do not have adequate RAWS coverage. Use Synoptic Data Viewer to pull in weather data.
• Build storage site/Power BI Dashboard for Red Flag Warning data and Fire data.
• Review current security camera company's AI capabilities and determine locations for future camera installations based on WUI and wildfire risk.
• Review and assess climate reports from NREL on flooding risk and Argonne National Laboratories on wildfire risk.

Performance Expectations

• Perform responsibilities as directed within determined time frames and with a high degree of accuracy.
• Establish and maintain effective work relationships within the department and the company.
• Maintain the professional competence, knowledge and skills necessary to effectively complete responsibilities; enhance job knowledge and abilities by taking personal responsibility for professional development and training.
• Maintain sensitive and confidential company information.
• Attend work on a regular basis and support the company's employee policies and procedures, including workplace safety rules.
• Ensure all compliance aspects of position are known and followed; understand and comply with all policies, codes and regulations applicable to position and company.

Qualifications

Skills for Success

• Self-starter
• Effective oral and written communication skills.
• Effective analytical and problem-solving skills.
• Effective interpersonal skills and customer relationship skills.
• Ability to prioritize and handle multiple tasks and projects concurrently.

Qualifications

• Must be a college student, sophomore or higher standing, currently enrolled in a bachelor's degree or higher program in data analytics, computer science, management information systems, meteorology, or related field of study.
• Must be available May 2025 - August 2025.
• Working knowledge of Microsoft Office and the Windows operating environment.

Employees must be able to perform the essential functions of the position, with or without accommodation. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or religious creed, age, national origin, ancestry, citizenship status (except as required by law), gender (including gender identity and expression), sex (including pregnancy), sexual orientation, genetic information, physical or mental disability, veteran or military status, familial or parental status, marital status or any other category protected by applicable local, state or U.S. federal law.

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