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Xcel Energy Services Inc. is seeking an Associate Data Scientist to apply data science to HR, workforce, and people analytics. You will analyze large employee datasets, build predictive models, and help translate data insights into actionable business strategies in a hybrid work environment.
The role requires SQL and Python expertise, ML knowledge, and experience with data visualization tools. This position offers growth within data science and collaboration across teams to improve workforce
Xcel Energy (NASDAQ: XEL) is a leading energy provider and Fortune 500 company, dedicated to serving millions of electricity and natural gas customers across eight states: Minnesota, Colorado, Wisconsin, Michigan, North Dakota, South Dakota, New Mexico and Texas. We make energy work better for our customers, helping them thrive every day. That means always raising the bar - delivering better service and providing more reliable, resilient, and sustainable energy. Xcel Energy is a place where you’ll have opportunities to grow, expand your skills, and help lead the clean energy transition. We offer meaningful rewards, recognition, and support to help you build your career and make an impact - both on the job and beyond. Most importantly, it means you’ll be joining a company that knows employees are the driving force behind its success and is committed to helping you be your best.
Xcel Energy supports a hybrid work model to enable collaboration and flexibility. Many roles are expected to work onsite three days per week (Tuesday–Thursday); however, work location expectations vary based on role, team, and business needs.
An Associate Data Scientist will play a crucial role in handling and analyzing large datasets to uncover valuable insights.
This role is specifically focused on applying data science to HR, workforce, and people analytics, requiring experience working with employee data and related business processes.
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.
Familiar in working with the two primary languages - SQL and Python.
Both are widely used for data analysis, machine learning, and visualization.
Applied experience in strategic workforce planning, people analytics, resource planning, or related workforce discipline - required experience.
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.
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.
Utility, energy, or regulated industry experience.
Experience working with HR, workforce, or other sensitive employee data and related business processes.
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.
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.
Our Values Connected, Committed, Trustworthy, Safe
Our Employee Commitments Work that makes a difference A team you can count of Opportunities to grow Rewards that help you thrive
Xcel Energy provides job applicants reasonable accommodations for disabilities throughout the application process.
If you are in need of an accommodation to complete the application process, now or at any time in the future, please complete the Applicant Accommodation Request Form.
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:
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: 10/28/26
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You. Us. Together.
At Xcel Energy, we’re more than an energy company. We’re reinventing how we power communities. Redefining how we care for customers. Reaffirming our commitment to the planet. We’re committed to leading with equity and inclusion. You’re not waiting for change – you’re creating it. You’re driven to protect the environment, support your community, and seek innovation. You want a career that grows with you and an employer who values you. You are reliable, trustworthy and bring integrity to everything you do. We are leading the way in clean energy. We’re using technology and innovation in every facet of our company. We’re providing safe, stable jobs with robust benefits. We keep our customers at the center of all we do. We’re committed to hiring a workforce that reflects the communities we serve. Together, we can provide carbon-free electricity by 2050. Together, we can take care of the environment and our communities. Together, we can create a place where everyone belongs. Together we’re building a better tomorrow.