Statistician - Construction Services

Hiring organization: Confidential — Confidential construction services company (employer named before interviews)
Location: Bozeman, MT, US
Workplace: On-site
Employment: Full-Time
Pay: $90,000 - $121,500 per year
Date posted: 2026-10-06

Job description

Role overview: The Statistician - Construction Services is based in Bozeman, Montana and supports project documentation, subcontractor coordination, and milestone reporting. This position combines hands-on execution with reliable documentation and collaboration across operational and technical teams. Responsibilities: Design analytical studies, evaluate data quality, select statistical methods, and communicate uncertainty. Apply these responsibilities to project documentation, subcontractor coordination, and milestone reporting. Work with process owners to track dependencies and preserve approved versions of project records. Identify problems early, record the evidence behind recommendations, and coordinate handoffs so agreed work is completed accurately. Qualifications: 2+ years of relevant professional experience or equivalent demonstrated project work. Demonstrated capability in statistical inference, experimental design, R or Python, and reproducible analysis. Experience supporting construction services is preferred. Ability to document decisions, communicate clearly, and handle business information responsibly. Initial priorities: Produce a reproducible analysis with documented assumptions and uncertainty. Begin by reviewing the current process, agreeing on a baseline with stakeholders, and identifying the most useful improvement to deliver. Report results using measures appropriate to the role and explain any unresolved dependencies. Work arrangement: Full-Time, On-site in Bozeman, Montana. Estimated annual cash compensation: USD 90,000 to 121,500. This illustrative range is centered on a national occupational benchmark; local pay, seniority, incentives, and benefits require employer review. No benefits or incentive plan is asserted.

Required skills

statistical inference, experimental design, R or Python, and reproducible analysis

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