Hiring: Associate Data Scientist - Workforce Analytics Company: Xcel Energy Location: Denver Metropolitan Area Job Posted Time: 2026-09-12 11:07:55 Target Skills & Keywords : Accessibility, Machine Learning, Python, SQL About the job Required Skills: •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. •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. Qualifications: •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. •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. •Operational familiarity with reproducible analytical workflows, version control, model validation, and data quality practices. •Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com. •The anticipated starting base pay for this position is: $84,900.00 to $120,567.00 per year •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. Compensation: •$84,900 - $120,567 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!