Design, build, and operationalize analytic solutions that solve workforce and HR challenges
Partner with HR leaders, HRIS/IT, data engineering, and analytics to translate business questions into reproducible data products
Lead end-to-end analytic projects
Define problem statements, design experiments, develop models, validate results, and deliver production-ready solutions
Build predictive and prescriptive models for talent use cases
Develop and produce features and models in collaboration with data engineers and ML engineers
Implement reproducible ETL, feature pipelines, model training pipelines, CI/CD, and deployment patterns
Apply statistical methods, hypothesis testing, causal inference, and robust validation
Design and operationalize NLP/LLM solutions for HR use cases
Instrument model monitoring and drift detection
Produce clear visualizations and dashboards for analytic findings
Translate technical analyses into business recommendations
Mentor junior data scientists/analysts and ensure adherence to governance, privacy, and ethical requirements

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)
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

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 processingSQLPythonETLmodel trainingpredictive modeling

Soft Skills

leadershipmentoringcommunicationcollaborationproblem-solving

Certifications

Bachelor's degree