Associate Data Scientist - Workforce Analytics

Xcel Energy

Denver (CO)

Híbrido

USD 85 000 - 121 000

Tempo integral

há 16 horas
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Vantagens oferecidas por esta oferta de emprego

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
Life Insurance
401(k) plan
PTO
Parental Leave
Tuition reimbursement

Resumo da oferta

Xcel Energy in Denver, CO is seeking an Associate Data Scientist to apply data science to HR, workforce, and people analytics, analyzing large employee datasets to uncover insights and inform decisions. You will work with SQL and Python, use ML techniques, visualize results with Power BI or Posit, and translate findings into actionable recommendations for business leaders.

This role supports a hybrid work model with opportunities to grow and contribute to the company’s people analytics

Qualificações

  • Bachelor's degree in computer science, data science, statistics, math or a related analytical field is required.
  • Experience in utility, energy, or regulated industry is preferred.
  • Experience with HR or sensitive employee data is a plus.

Responsabilidades

  • Familiar with SQL and Python for data analysis, ML, and visualization.
  • Applied experience in strategic workforce planning, people analytics, or related workforce discipline.
  • Knowledge of machine learning techniques and algorithms.
  • Experience with data visualization tools like Posit or Power BI.
  • Understand key concepts for managing and analyzing large datasets with statistical methods and ML.
  • Translate business goals into technical solutions.
  • Translate data insights into actionable recommendations for decision-makers.
  • Collaborate with senior team members and learn from experienced colleagues.

Conhecimentos

SQL
Python
Workforce analytics
Machine learning
Data visualization

Formação académica

Bachelor's degree in CS/Data Science/Statistics/Math

Ferramentas

Power BI
Posit

Descrição da oferta de emprego

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.

Position Summary

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.

Core Responsibilities
  • 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.
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.
  • 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.

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 Flexible Spending Account, Health Care Flexible Spending 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: 10/28/26

EEO is the Law (PDF) | Equal Opportunity Statement (PDF) | Employee Rights (PDF)

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.

Accessibility Statement

Xcel Energy endeavors to make https://www.xcelenergy.com and https://jobs.xcelenergy.com accessible to any and all users. For any other application related questions, including application follow‑ups or technical issues, please use our Recruiting Assistance, Electra, for assistance. Electra can be found in the lower right‑hand corner of our Xcel Energy Careers site.

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