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AI Employee Misconduct Pattern Analyst

Liam Singh

Full-time · Job · Chicago

About the role

We serve over 300 enterprise compliance teams — HR departments, ethics officers, and legal investigators — who use Candor's platform to identify patterns in employee misconduct reports. The person in this role will build the detection models that help investigators spot connected cases, escalation risks, and anomalous behavioral clusters before situations become crises. You'll analyze structured and unstructured misconduct data, build unsupervised clustering models to surface related incidents, and work with the product team to integrate your outputs into the investigator workflow. You'll also own the fairness layer — our clients are highly sensitive to models that could encode demographic bias into workplace decisions. This is mission-critical data science: your outputs feed directly into investigations that affect careers and corporate governance. We hold accuracy to a high standard and require explainability for every flagged cluster. If you've worked in HR analytics, fraud detection, or behavioral risk modeling, you'll feel at home here.

Responsibilities

  • Build clustering and anomaly detection models on misconduct report data
  • Partner with legal and product to define detection criteria and thresholds
  • Own the bias and fairness testing layer for all deployed models
  • Create investigator-facing dashboards and alert outputs in Tableau
  • Maintain model documentation and audit trails required by enterprise clients

Requirements

  • 5+ years data science experience
  • Strong unsupervised ML skills (clustering, anomaly detection)
  • Proficiency in Python and SQL
  • Experience with enterprise data privacy requirements
  • Background in HR analytics or compliance tech is a strong plus

Benefits

  • Fully remote role with quarterly offsites
  • Equity participation in a growing Series B company
  • Unlimited PTO policy
  • Health, dental, and vision insurance
  • $2,000 annual learning budget

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Job Type

Full-time

Level

Senior

Language

English

Salary Range

$130k – $160k / year

AI Expertise

data science & analytics AI Business, Marketing & Strategy

Skills

python sql scikit-learn spark tableau

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