Associate Data Scientist

Xcel Energy; Denver (CO); Hybrid; USD 85,000 - 121,000; Full time

Benefits offered by this job

Medical/Dental/Vision

Pension/401(k)

PTO & Holidays

Transit benefits

Job summary

Xcel Energy in Denver, CO is hiring an Associate Data Scientist for a hybrid role. You will analyze large datasets with SQL and Python, apply machine learning techniques, and visualize results with Posit or Power BI, turning insights into business recommendations.

Required are a Bachelor's degree in a related field and ability to communicate findings to non-technical stakeholders. Collaboration with senior team members and ongoing data quality work are part of the role.

Qualifications

• Bachelor's degree in a relevant analytical field is required.
• Experience with large datasets and statistical methods is preferred.
• Familiarity with ML algorithms and data visualization tools.

Responsibilities

• Work with SQL and Python to analyze large datasets.
• Apply ML techniques to derive actionable insights.
• Communicate results using data visualizations for decision-makers.
• Translate business goals into technical work and recommendations.

Skills

SQL

Python

Machine learning

Data visualization

Communication

Education

Bachelor's degree in Computer Science / Data Science / Statistics

Tools

Databricks

Power BI

Posit

Microsoft Power Apps

Job description

Hybrid role in Denver, CO with a mission-focused team at Xcel Energy. As an Associate Data Scientist, you’ll work with large datasets to turn analysis into practical, business-ready insights using statistical methods, machine learning, and visualization. You’ll also collaborate across teams and partner with more senior colleagues as you build real-world expertise.

Compensation: USD 84,900 to 120,566 per year.

What you’ll do

• Work with SQL and Python to handle and analyze large datasets.
• Apply knowledge of machine learning techniques and algorithms to derive actionable insights.
• Use data visualization tools such as Posit or Power BI to communicate results clearly.
• Translate business goals into technical work and convert data insights into recommendations for decision-makers.
• Collaborate with more senior team members, learn from experienced colleagues, and communicate findings to non-technical stakeholders.
• Support predictive modeling as needed, assist with automating data collection, and help ensure data quality and integrity.

What you’ll bring

• Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration (required).
• Open to other bachelor’s degrees if paired with data science relevant certifications.
• Familiarity with managing and analyzing large datasets using statistical methods and machine learning algorithms.
• Ability to effectively communicate findings and collaborate with business users and team members.

Tools and technologies

SQL, Python, Posit, Power BI, Databricks, Microsoft Power Apps

Benefits

• Annual Incentive Program
• Medical/Pharmacy Plan, Dental, Vision
• Life Insurance
• Dependent Care Reimbursement Account, Health Care Reimbursement Account
• Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
• Transportation Reimbursement Account
• Short-term disability (STD), Long-term disability (LTD)
• Employee Assistance Program (EAP)
• Fitness Center Reimbursement (if enrolled in eligible health plan)
• Tuition reimbursement
• Transit programs
• Employee recognition program
• Pension, 401(k) plan
• Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO)
• Parental Leave

Preferred

• Experience using Power BI, Databricks, and/or Microsoft Power Apps.
• A portfolio or examples of work showing 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 (internal candidates).

Values and employee commitments

• Our values: Connected, Committed, Trustworthy, Safe
• Our commitments: Work that makes a difference, A team you can count of, Opportunities to grow, Rewards that help you thrive

Application deadline: 10/16/26