Software Engineer III- Data Science
Core
Design, develop, and deliver production-grade Data Science and AI capabilities embedded into workforce management and human resource management solutions using large-scale workforce data.
Role type
Senior IC data scientist (production ML/AI)
Builds
Production ML/AI pipelines, generative AI applications, RAG systems, and agentic workflows for workforce management and HCM
Domain
Workforce management and Human Capital Management (HCM)
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, PySpark), SQL/BigQuery, cloud-based ML infrastructure (AWS/GCP/Azure), MLOps, statistical modeling, experimentation, NLP, deep learning, time-series, clustering, LLMs, generative AI
Preferred skills
Building services with LLMs and generative AI techniques
Responsibilities
Apply statistical and ML techniques to analyze billions of workforce records; Develop and deploy modern Data Science/AI solutions including generative AI and RAG systems; Establish evaluation frameworks to measure model quality; Lead research, design, and implementation of end-to-end ML/AI pipelines; Own the full model lifecycle: validation, deployment, monitoring, and iteration; Write high-quality, modular production code and design clean data/model pipelines; Mentor junior data scientists through code reviews and modeling best practices
Seniority
Senior, hands-on IC with mentorship
