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Xcel Energy

Data Scientist – Associate, Experienced Level

Xcel Energy

Data Scientist developing statistical and machine learning models for Xcel Energy, a leading electricity and natural gas company. Creating data-driven insights for energy operations and business decisions.

Posted 8/4/2026full-timeDenver • Colorado, Minnesota, Texas • 🇺🇸 United StatesJuniorMid-Level💰 $84,900 - $138,600 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data collection, cleaning, and manipulation using SQL, Python, and R, with a strong ability to apply statistical techniques and machine learning algorithms. Skilled in developing and deploying data science models in production environments and effectively communicating insights to diverse audiences.

Highest-signal resume keywords
SQLPythonRMachine LearningData Visualization

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data CollectionData CleaningStatistical AnalysisMachine Learning AlgorithmsModel ValidationModel DeploymentData ManipulationExploratory Data AnalysisData Science ModelsData Transformation
Soft Skills
CollaborationCommunicationProblem SolvingStakeholder EngagementTranslating Technical Concepts
Tools & Technologies
Data Visualization Tools
Certifications & Qualifications
Data Science Certifications
Industry Keywords
Data ScienceAnalytical ConcentrationProduction EnvironmentTechnical and Non-Technical Audiences

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Collect and clean data from various sources while ensuring data quality
  • Manipulate and transform data using SQL, Python, and R
  • Apply statistical techniques and machine learning algorithms for exploratory data analysis
  • Support development, validation, and deployment of machine learning and statistical models
  • Develop understanding of delivering data science models in a production environment
  • Create impactful visualizations to communicate findings
  • Collaborate with stakeholders to understand business challenges and develop data-driven solutions
  • Translate technical concepts into actionable insights
  • Balance learning with practical application
  • Understand project and team scope in relation to broader strategic initiatives
  • Communicate findings to technical and non-technical audiences

Requirements

What you’ll need
  • Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration is required for the Associate Data Scientist level
  • Other bachelor’s degrees with data science-relevant certifications will be considered
  • Bachelor’s degree in computer science, data science, math, statistics, or a related analytical concentration for the Data Scientist level
  • Minimum 3 years working as a data scientist or application developer for the Data Scientist level
  • 2 years of experience with an MS or Ph.D. for the Data Scientist level
  • Relevant certifications may be considered in lieu of a postgraduate degree in combination with years of experience
  • Experience with SQL, Python, and R
  • Knowledge of statistical analysis and machine learning algorithms
  • Experience with data visualization tools
  • Ability to develop, validate, and deploy machine learning and statistical models
  • Ability to deliver data science models in a production environment
  • Ability to communicate technical concepts and findings to technical and non-technical audiences

Benefits

Comp & perks
  • 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