Senior Quality Assurance Reviewer, Principal Consultant (Part-Time)

Description

Be the last expert to look at a deliverable before it reaches the client. We promise our client that a senior reviewer who did not produce the work will approve every final deliverable. That reviewer needs to be someone who has seen enough analyses to know when a number looks too clean, a comparison is not fair, or a conclusion goes further than the data. You work only when there is something to review, and your sign-off carries real weight.

Responsibilities

• Review and approve final deliverables for analytical soundness, traceability to source data, material limitations, conformance with scope, and acceptance criteria.
• Check that findings are supported, that data gaps and uncertainty are stated, and that AI-assisted results were validated by a person.
• Document required corrections, confirm they were made, and record your approval.
• Advise Task Leads on analytical approach when asked, before work reaches final review.
• Stay independent: you never review work you helped produce.
• Required qualifications
• Advanced degree (master's or doctorate) in data science, statistics, economics, or a related field, or equivalent experience.
• At least 15 years of professional experience in analytics, data science, or applied research, including leading complex analytical engagements.
• A record of reviewing other people's quantitative work and giving direct, specific feedback.
• Experience with large datasets drawn from many sources with inconsistent definitions.
• Clear, concise writing, since your review notes become part of the record.
• Based in the US and able to work remotely, part-time, in TechSilo's managed environment.
• How the role works
• Work is on call and tied to deliverable dates. Expect a few hours per deliverable and typically under 10 hours a month, with more during busy periods. There is no guaranteed minimum, and the role starts only if the contract is awarded. We also name a backup reviewer so deliveries are never held up, and you may be asked to cover for them. Finalists will be asked to sign a commitment letter so we can name them in our proposal, and their resume may be shared with the client.

Requirements

• Required qualifications
• Advanced degree (master's or doctorate) in data science, statistics, economics, or a related field, or equivalent experience.
• At least 15 years of professional experience in analytics, data science, or applied research, including leading complex analytical engagements.
• A record of reviewing other people's quantitative work and giving direct, specific feedback.
• Experience with large datasets drawn from many sources with inconsistent definitions.
• Clear, concise writing, since your review notes become part of the record.
• Based in the US and able to work remotely, part-time, in TechSilo's managed environment.
• Preferred
• Experience with procurement or spend data, sustainability reporting, or emissions accounting (GHG Protocol, STARS).
• Work for a university, a public agency, or another organization made of many separate entities.
• Experience validating machine-learning or AI-assisted analysis.
• Additional Information
• All your information will be kept confidential according to EEO guidelines.
• CJ
• Company Description
• TechSilo is a small technology and engineering services firm in Fredericksburg, Virginia. We support federal defense customers, including a multi-year Navy engineering program, and we are growing into higher education and public-sector analytics. The team is small and senior, and our CEO is the Program Director on this work, so your review goes to decision makers directly.