Human Resources Paid Consultant - Advanced Analytics, Predictive Modeling & Executive Consulting

LinkedIn
LinkedIn

People & HR, Data Science

United States

USD 135-135 / hour

Posted on Jun 16, 2026

We are seeking experienced advanced people analytics and workforce analytics professionals (or HR data scientists, workforce analytics consultants, or senior people analytics partners) to provide expert insight as part of a project for our AI Marketplace. No preparation required — just your real-world experience.

This is a one-time, paid, project-based interview engaged on a contract basis— not a full-time role.

Location: U.S.-based experts only

Engagement: One-time, project-based interview

Work Type: Remote

Estimated rate: $135/hour (prorated for the 30-minute task)

What You’ll Do

You’ll complete a ~30-minute recorded AI-led video interview where you explain how you actually do your work in practice.

This interview will focus on:

  • Scoping ambiguous or strategic workforce questions and translating them into defensible analytical approaches
  • Joining data across HR systems, preparing datasets, creating features, and handling data-quality issues
  • Running advanced or predictive analyses, validating models, monitoring drift, and managing bias or proxy-variable risk
  • Delivering actionable insights to stakeholders while communicating uncertainty, limitations, and ethical boundaries

You will be asked to explain workflows specifically within: advanced workforce analytics, predictive modeling, ambiguous stakeholder request scoping, analytical delivery, and decision enablement workflows.

You should only apply if you can confidently walk through these areas step-by-step based on your own experience and respond to AI-led interview questions with depth, clarity, and real-world examples.

What We’re Looking For

  • 8+ years in advanced people analytics, HR data science, workforce analytics consulting, organisational analytics, or talent analytics
  • Direct, hands-on experience in advanced workforce analytics, predictive modelling, ambiguous stakeholder request scoping, analytical delivery, and decision enablement workflows
  • Experience making or influencing decisions related to method selection, dataset assembly, model validation, bias/proxy-variable risk, stakeholder actionability, uncertainty communication, and prioritisation of ad-hoc requests
  • Familiarity with tools such as: SQL, Python, R, Snowflake, Databricks, Tableau, Power BI, Workday, Visier, One Model, Qualtrics, Excel
  • Strong ability to clearly explain workflows, decisions, and reasoning
  • Experience owning or directly executing these workflows in a real production environment
  • Experience working cross-functionally with HR, legal, payroll, finance, HRIS, business leaders, people managers, or compensation committee stakeholders as relevant to the workflow

About the Interview

The interview is designed to elicit step-by-step explanations of real workflows and decision-making processes, with an emphasis on detailed, experience-based responses rather than high-level summaries.

This is a project-based engagement. Selected participants will be paid for completing a recorded AI-led video interview; hourly rates are estimates based upon anticipated time of completion. Participants will control their own schedule, provide their own tools to complete the interview, and may participate in other opportunities as they choose.

Once you complete the interview, we’ll send your video recording and transcript, along with AI-generated insights, to the internal research team and AI lab partner. This data will be used to generate a structured list of tasks associated with your profession and for AI model improvement.

LinkedIn Global Data Privacy Notice for Job Candidates: https://legal.linkedin.com/content/dam/legal/Global-Data-Privacy-Notice_LI_TalentCommunity.pdf