Associate Data Scientist - Workforce Analytics

Xcel Energy Inc; Minneapolis (MN); On-site; USD 85,000 - 121,000; Full time

Benefits offered by this job

Annual Incentive Program

Medical/Pharmacy Plan

Dental

Vision

Life Insurance

Pension

401(k) plan

Paid time off

Holidays

Tuition reimbursement

Transit programs

Job summary

Xcel Energy is seeking an Associate Data Scientist to analyze large datasets, apply statistical methods, and build predictive models that inform business decisions. You will collaborate with cross-functional teams to translate data insights into actionable strategies and help automate data collection while maintaining data integrity.

The role emphasizes communicating complex findings to non-technical stakeholders and contributing to reusable data tools and analytics workflows.

Qualifications

• Bachelor's degree in CS, data science, statistics, math or related analytical field.
• Experience with analytics methods and data-driven decision making.

Responsibilities

• Handle and analyze large datasets using statistical methods and ML algorithms.
• Collaborate with cross-functional teams to translate data findings into business strategy.
• Develop predictive models and automate data collection while ensuring data quality.
• Communicate findings clearly to non-technical stakeholders and business users.
• Support data-driven decision making and create reusable data products.

Skills

SQL

Python

Data analysis

Stakeholder communication

Education

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

Tools

Power BI

Posit

Job description

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.

Position Summary

An Associate Data Scientist 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.

Core 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.

Minimum Requirements

• Bachelor’s degree in computer science, data science, statistics, math or a related analytical concentration is required. Other bachelor’s degrees with data science relevant certifications will be considered.

Preferred Qualifications

• Utility, energy, or regulated industry experience.
• Experience working with HR, workforce, or other sensitive employee data and related business processes.
• Applied experience in strategic workforce planning, people analytics, resource planning, or related workforce discipline.
• Hands-on experience using experiments or causal impact evaluation to measure the effectiveness of business programs, initiatives, or interventions.
• Familiarity with reproducible analytical workflows, version control, model validation, and data quality practices.
• Experience developing reusable statistical models, analytical tools, or data products for ongoing business use.

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. If you’re ready to be a part of something big, we invite you to join our team.

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.

Individuals with a disability who need an accommodation to apply please contact us at [e-mail].

Non-Bargaining The anticipated starting base pay for this position is: $84,900.00 to $120,567.00 per year. This position is eligible for the following 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

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.

Deadline to Apply: 09/25/26

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ACCESSIBILITY STATEMENT

Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at [e-mail]. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.