Data Science Intern CO, MN

Xcel Energy•Minneapolis, MN

8h•$22 - $28•Hybrid

About The Position

A Data Science Intern will play a crucial role in handling and analyzing large datasets to uncover valuable insights. They utilize statistical methods, machine learning algorithms, and data visualization techniques to interpret complex data. By collaborating with cross-functional teams, they help translate data findings into actionable business strategies, thereby supporting data-driven decision-making processes. Additionally, they may assist in developing predictive models, automating data collection processes, and ensuring data quality and integrity. This position often serves as a foundational step towards more advanced roles in data science, providing essential skills and experience in the field.

Requirements

Current student, Senior or higher
Enrolled in an accredited college or university and pursuing a degree in Computer science, data science, statistics, math or a related analytical concentration is required.
Able to work full-time during the summer (up to 40 hours a week)/ part time during the school year (up to 20 hours a week) and commuting to the designated work location in-person, per our hybrid work policy.

Nice To Haves

Databricks
Application Development skills
Some Python and SQL coding skills

Responsibilities

Familiar in working with the two primary languages - SQL and Python. Both are widely used for data analysis, machine learning, and visualization.
Knowledge of machine learning techniques and algorithms.
Experience with data visualization tools like Posit or Power BI.
Understand key concepts related to managing and analyzing large datasets. This includes using statistical methods and machine learning algorithms to derive actionable insights.
Translate the business goals to technical expertise.
Translate data insights into actionable recommendations for decision-makers.
Collaborate closely with more senior team members and learn from experienced colleagues.
Effectively communicate findings to non-technical stakeholders, collaborate with team members, and present to business users.