Senior Human Resources Data Scientist

Role Overview

• Lead end-to-end analytic projects
• Define problem statements with HR stakeholders, design experiments, select appropriate methods, develop models, validate results, and deliver production-ready solutions and monitoring
• Build predictive and prescriptive models for talent use cases (attrition/retention, internal mobility, promotion forecasting, performance indicators, recruitment sourcing/scoring, skilling/curation, compensation analytics)
• Develop and produce features and models in collaboration with data engineers and Machine Learning (ML) engineers
• Implement reproducible ETL, feature pipelines, model training pipelines, CI/CD, and deployment patterns
• Apply statistical methods, hypothesis testing, causal inference where appropriate, and robust validation (cross-validation, holdouts, calibration, fairness testing) to ensure reliable, defensible results
• Design and operationalize NLP/LLM solutions for HR use cases (resume parsing, candidate experience, employee feedback analysis) while enforcing privacy, data minimization and explainability requirements
• Instrument model monitoring and drift detection; define alerting, retraining triggers, and remediation plans
• Produce clear, actionable visualizations and dashboards that tell the story of analytic findings and drive decisions; collaborate with BI developers to operationalize reporting
• Translate technical analyses into business recommendations, quantify expected impact, and work with partners to implement changes and measure outcomes
• Mentor junior data scientists/analysts, review code and model artifacts, and help raise team standards for reproducibility, documentation, and governance
• Ensure models and data products adhere to governance, privacy, and ethical requirements; collaborate with HR Data Steward, Legal/Privacy, and Ethics/AI governance on reviews and approvals

Requirements

• Bachelor's degree or higher
• 5+ years of experience in data science or analytics
• 5+ years of experience performing statistical analysis
• 5+ years of experience in data analysis algorithms (e.g. data mining, statistics, machine learning, natural language processing, text mining, visual analytics) and building Descriptive, Predictive and Prescriptive models
• 5+ years of experience writing and using SQL
• 5+ years of experience in Python or relevant scripting language development
• Experience in Business Intelligence/data analytics tools (Tableau, Microsoft Power BI, Dashboards, etc.)

Tech Stack

• ETL
• Python
• SQL
• Tableau

Benefits

• health insurance
• flexible spending accounts
• health savings accounts
• retirement savings plans
• life and disability insurance programs
• a number of programs that provide for both paid and unpaid time away from work