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Data Scientist - DOF Job

Location(s): MN - Minneapolis; CO - Denver; WI - Eau Claire


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.



About the Digital Ops Factory

At the Digital Operations Factory, we’re driving cultural and technological change within the organization with the mission of leading Xcel Energy to a carbon-free 2050. Come be a part of the energy revolution! You'll work with inspiring, bold, and thoughtful technologists to deliver transformational change in an energetic environment open to fresh ideas. Using an approach grounded in agile scrum and design thinking, we're building greenfield technology that introduces efficiencies across clean-energy sectors of Xcel Energy’s core business. We’re acting as an independent, agile entity with a startup mindset to pave the way for change. We're reinventing  Xcel Energy's technology foundations, setting up a cloud environment that is able to launch new capabilities into production weekly, and delivering enhanced customer and employee experiences.
Want more information? Watch this video to learn more about our commitment to change and our roadmap for innovation. Watch Video:


Position Summary
Responsible for modeling complex business problems and discovering insights through the use of statistical, algorithmic, mining and visualization techniques. Communicates results clearly and concisely to provide insight to multiple audiences; provides strategic direction to senior management.

Essential Responsibilities

  • Data Wrangling/Exploration: Follow consistent practices to ensure data integrity and deal with imperfections in data. Champion the acquisition of new data sources to enhance value and fill gaps; automate collection processes; effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets; collaborate with business stakeholders as needed to ensure solid data understanding and proper data transformation; work cross-functionally with development and engineering teams; analyze large amounts of information to discover trends and patterns; draw conclusions and gain actionable insights.
  • Machine Learning: Build predictive models; propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems (e.g. supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.); validate model results. Work closely with architecture and engineering team to deploy models; communicate results in a clear and non-technical manner.
  • Communication & Relationship Building: Interact with senior management and effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates);effectively develop relationships with individuals inside and outside of IT; deliver difficult messages and express disagreement with others with confidence and self-control; address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques; gain support from related stakeholders for analytic solutions and champion data driven business decisions.
  • Statistics: Apply appropriate statistical techniques to data exploration and model development/assessment; communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education.
  • Data Visualization: Create meaningful data visualizations to communicate results and highlight business impact; utilize various techniques and delivery methods of visualization that are audience appropriate.
  • Programming: Effectively collaborate with others to deliver efficient and high quality code; implement solid validation process to ensure consistency and minimize errors; champion more efficient ways to produce code iteratively; maintain skills through continuing education; stay up to date on new technologies/ tools; seamlessly transition between languages to apply the right approach to the problem.


Minimum Requirements

  • Bachelor’s degree in IT or math-related field and 7 years of experience in analytics OR Master’s degree in IT or math-related field and 5 years of experience in an analytics field of study.
  • Problem solving skills, business acumen, and demonstrated excellent oral and written communication skills.
  • Expert SQL, Python skills.
  • Distributed Computing experience.
  • Excellent data visualization skills.
  • Knowledge of data architecture and structure.
  • Experience with machine learning, statistical modeling, predictive modeling are imperative; text mining and topic modeling are plus.
  • Experience with Neural Networks and corresponding technologies.




Xcel Energy is committed to the safety of its employees and customers, and promotes a Safety Always culture. Because of this, we strongly encourage all employees to be fully vaccinated against COVID-19; however, vaccination is not mandatory. After being hired, you will asked to report your vaccination status and dates of vaccination. This information will be maintained confidentially and disclosed only on a need-to-know basis. If you are not fully vaccinated or choose not to disclose your vaccination status you will be required to follow any health-and-safety rules applicable to unvaccinated employees.


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.


Posting Notes:  MN - Minneapolis || MN - Minneapolis; CO - Denver; WI - Eau Claire || United States (US) || Customer And Innovation || 55300:Innovation & Transformation Of || Full-Time || Non-Bargaining ||

The anticipated starting base pay for this position is: $87,000 to $123,666 per year

This position may also be eligible for the following benefits and/or pay components: Pay - 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, Personal holidays, Volunteer Paid Time Off (VPTO) (full-time employees only), Parental Leave


Click here to see our benefits


Requisition Number: 44683

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


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Nearest Major Market: Minneapolis

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