Intern, Energy Data Science

Hourley Wage: $30.00

PURPOSE: The Energy Data Science Intern will support strategic decision making by increasing data accessibility performing statistical analysis building predictive models and providing actionable insights. This position advances all DPCs strategic priorities but most notably our commitment to financial strength growth & innovation and our safety culture.

ESSENTIAL JOB FUNCTIONS:

Build test and document data pipelines that ingest transform and deliver data for analysis and reporting. Assist with integrating APIs databases enterprise applications and external data sources into Dairyland Power Cooperatives cloud-based Lakehouse environment. Clean validate and organize energy and business data to improve reliability and accessibility. Perform statistical analysis to identify trends quantify uncertainty and support business decisions. Develop and evaluate machine learning models for defined business applications. Support model deployment validation performance monitoring and ongoing improvement. Translate business questions into quantitative analyses. Present findings assumptions and recommendations clearly to technical and nontechnical audiences. Create technical documentation for data sources pipelines models and analytical methods. Perform other duties as assigned.

MINIMUM QUALIFICATIONS:

Education & Experience: Currently pursuing either an undergraduate or graduate degree in data science statistics mathematics artificial intelligence computer science or another related field.

Skills:

• Experience using at least one scientific computing language preferably Python

• Foundational knowledge of data structures statistical analysis and relational databases

• Strong analytical problem-solving and organizational skills

• Strong verbal written and interpersonal communication skills

• Ability to work independently.

PREFERRED QUALIFICATIONS:

• Experience with SQL and data modeling

• Experience building data pipelines or integrating APIs

• Familiarity with Microsoft Fabric AWS or another cloud data platform

• Familiarity with machine learning model development validation and deployment

• Experience with Power BI or another data visualization tool

• Experience using Git or another version control system

Licenses and Certifications:Valid Drivers License

Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this performing the duties of this job the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger handle or feel; and reach with hands and arms.

Environmental Demands: Normal work schedule is indoors.

Other Job Characteristics: Travel required occasionally overnight. Works with limited supervision in a variably paced variable pressure setting. Handles multiple priorities.