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.)

Benefits

health insurance
flexible spending accounts
health savings accounts
retirement savings plans
life and disability insurance programs
paid and unpaid time away from work

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data sciencestatistical analysisdata analysis algorithmsmachine learningnatural language processingpredictive modelingprescriptive modelingSQLPythonETL

Soft Skills

leadershipmentoringcollaborationcommunicationproblem-solvinganalytical thinkingdecision-makingdocumentationgovernancestakeholder engagement

Certifications

Bachelor's degreeMaster's degree