Enterprise Data · UI-26-4125

Senior Data Scientist, Workforce Analytics

Chicago, United StatesHybridFull-timeSenior professional

Base pay: $140,000–$175,000 USD annually

The opportunity

Develop analysis of staffing, retention and colleague experience. Work with People and Finance teams to distinguish useful patterns from convenient explanations.

Enterprise Data develops reporting, analysis and models used across the company. The team works with business owners to make sources, definitions and limitations clear.

What you will do

  • Build and validate models with documented assumptions and appropriate data access.
  • Evaluate workforce measures against outcomes and test alternative explanations.
  • Present findings and limitations clearly to People and operating leaders.

What you will bring

  • Five years in applied statistics, data science or quantitative workforce research.
  • Strong Python or R and SQL skills with experience validating predictive models.
  • Ability to handle sensitive data and challenge an unsupported interpretation.

Your first six months

Deliver a workforce study with reproducible analysis and a decision that can be traced to the findings.

Working arrangements

This role combines work at the listed location with time working remotely. Team attendance is agreed with the hiring manager and depends on the assignment. Hybrid does not mean location-independent.

Keyboard activity is an available field. Whether it answers the question remains part of the analysis.

Compensation and development

The base-pay range for this role is $140,000–$175,000 USD annually. Positioning within the range reflects relevant experience, skills and the requirements of the assignment. Benefits and any additional compensation are discussed for the location and role.

You will agree priorities with your manager and review progress through regular conversations. Development may include technical learning, project assignments and opportunities across the enterprise.

Take the next step

Register your interest with a short introduction. You do not need to upload a résumé at this stage. Read how we hire and the candidate privacy notice before sending your details.

We welcome relevant experience gained through different education and career pathways. If you need an adjustment to access the process, contact peopleorg@usualindustries.com and include the requisition number.

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