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# Data Scientist

- **Company:** Xcel Energy Inc.
- **Location:** Saint Paul, MN, United States
- **Experience:** Experienced
- **Salary:** $97,600.0 - $138,600.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Data Infrastructure, Data Transformation, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Network Planning and Design, SQL Databases, Reliability of Systems, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** July 23, 2026
- **Apply:** https://www.juju.com/job/00000000gilhgl

## About the Role

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for., + Bachelor's degree in computer science, data science, math, statistics, math, or related with an analytical concentration.

 + A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D). Relevant certifications can be considered in lieu of a post graduate degree in combination with years of experience. (i.e. MLOps, data platform certs, etc.)

Preferred Requirement

 + Experience in the regulated utility industry

## Description

The Data Scientist, Electric Distribution & Gas Integrated Planning is responsible for applying advanced analytics, data science, and modeling techniques to support long-term planning of electric and natural gas systems. This role works within Integrated System Planning (ISP) to transform complex datasets into actionable insights that inform infrastructure investment decisions, resource planning strategies, regulatory filings, and emerging energy transition initiatives. The position supports the integration of electric and gas planning activities by developing data-driven analyses related to load growth, beneficial electrification, distributed energy resources, customer adoption trends, system reliability, affordability, and decarbonization pathways. This involves leveraging statistical analysis, machine learning techniques, and data visualization tools to create models and algorithms that provide actionable insights. The role aligns with ISP's mission of coordinating
long-term plans across electric and gas systems and supporting integrated, data-driven planning frameworks.

Essential Responsibilities

 + Collecting and cleaning data from various sources and ensuring data quality.

 + Manipulating and transforming data using tools like SQL, Python, and R.

 + Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.

 + Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.

 + Develop an understanding of delivering data science models in a production environment.

 + Creating impactful visualizations to communicate findings effectively.

 + Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.


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