Associate Data Scientist - Hybrid Analytics & ML

Xcel Energy Services Inc; United States; Hybrid; USD 85,000 - 121,000; Full time

Benefits offered by this job

Annual Incentive Program

Medical/Pharmacy Plan

Dental

Vision

401(k) plan

PTO

Holidays

Job summary

Xcel Energy is seeking an Associate Data Scientist to transform large datasets into actionable business insights using SQL, Python, and visualization tools. The role emphasizes collaboration with cross-functional teams, model development, and data quality assurance.

The ideal candidate will have a solid foundation in data science, strong communication skills, and a portfolio demonstrating work with large-scale analytics and reporting. Hybrid work model offered.

Qualifications

• Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required.
• Preferred Experience using Power BI, Databricks, and/or Microsoft Power Apps.
• Candidates should provide a portfolio or examples of work demonstrating experience with large-scale data management, analytics, reporting, or application development.
• Knowledge of the 1Xcel Way and Lean methodologies, including continuous improvement tools and process optimization practices.

Responsibilities

• Familiar with SQL and Python for data analysis, ML, and visualization.
• Knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools like Power BI.
• Understand concepts for managing and analyzing large datasets to derive actionable insights.
• Translate data insights into recommendations for decision-makers.
• Collaborate with senior team members and learn from colleagues.
• Communicate findings to non-technical stakeholders and business users.

Skills

SQL

Python

Data visualization

Education

Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration

Tools

Power BI

Databricks

Microsoft Power Apps

Job description

Xcel Energy is seeking an Associate Data Scientist to transform large datasets into actionable business insights using SQL, Python, and visualization tools. The role emphasizes collaboration with cross-functional teams, model development, and data quality assurance.

The ideal candidate will have a solid foundation in data science, strong communication skills, and a portfolio demonstrating work with large-scale analytics and reporting. Hybrid work model offered.