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About the Role

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.

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.
• Translating technical concepts into actionable insights.
• Balancing learning with practical application.
• Understanding project and team scope as it relates to broader strategic initiatives.
• Effectively communicating findings to both technical and non-technical audiences.

Requirements

• 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.)
• Experience in the regulated utility industry

Skills

• SQL
• Python
• R
• Statistical analysis
• Machine learning techniques
• Data visualization tools

Location

• Eight Western and Midwestern states

Work Type

• Non-Bargaining

Experience Level

• 3 years working as a data scientist or application developer
• 2 years with MS or Ph.D

Education Level

• Bachelor’s degree in computer science, data science, math, statistics, math, or related with an analytical concentration.

Salary/Compensations

• $97,600.00 to $138,600.00 per year

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

About the Company

• As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states.
• At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need.
• All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.

Equal Opportunity

• All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
• EEO is the Law | EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)