Associate Data Scientist, Workforce Analytics (Hybrid)

Xcel Energy Services Inc; United States; Hybrid; USD 85,000 - 121,000; Full time

Benefits offered by this job

Annual Incentive Program

Medical/Pharmacy Plan

Dental

Vision

Life Insurance

401(k) plan

Paid time off

Job summary

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

Qualifications

• Bachelor’s degree in computer science, data science, statistics, math or related analytical field.
• Experience with HR or workforce analytics preferred.
• Hands-on experience with experiments or causal impact evaluation to measure program effectiveness.

Responsibilities

• Familiar with SQL and Python for data analysis.
• Experience in strategic workforce planning or people analytics.
• Knowledge of machine learning techniques and algorithms.
• Experience with data visualization tools like Power BI or Posit.
• Translate business goals into technical solutions.
• Communicate findings to non-technical stakeholders.
• Collaborate with senior team members and learn from experienced colleagues.
• Support data-driven decision making across HR functions.

Skills

SQL

Python

Machine Learning

Data Visualization

Education

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

Tools

Power BI

Posit

Job description

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