Statistician - Manufacturing Operations

Hiring organization: Confidential — Confidential manufacturing operations company (employer named before interviews)
Location: Davenport, IA, US
Workplace: On-site
Employment: Full-Time
Pay: $90,000 - $121,500 per year
Date posted: 2026-09-26
Closing date: 2026-12-28

Job description

Role overview: The Statistician - Manufacturing Operations is based in Davenport, Iowa and supports production schedules, supplier coordination, and operating performance. 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 production schedules, supplier coordination, and operating performance. Work with process owners to respect plant change-control procedures and production continuity requirements. 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 manufacturing operations 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 Davenport, Iowa. 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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