Data Scientist II - People Analytics & Insights
Core
Mid-level Data Scientist building AI/ML solutions and scalable data products to solve workforce and talent challenges for HR and business leaders.
Role type
Mid-level applied data scientist (people analytics)
Builds
AI-enabled workforce analytics solutions, decision-support tools, and productionized ML models
Domain
People Analytics / HR Technology / Financial Services
Deliverable
production ML models | product features
Required skills
Statistical modeling, SQL, Python, LLMs, RAG, embeddings, data visualization, end-to-end ML workflows
Preferred skills
HR/People Analytics domain experience, process automation, DevOps, mentoring, change management
Technologies
LLMs, RAG, embeddings, SQL, Python
Responsibilities
Design and deploy AI/ML solutions for workforce challenges; translate business questions into scalable data products; build end-to-end data science workflows; partner with HRBPs and executives on talent insights; develop advanced analytics using modern AI frameworks; create reusable data assets; collaborate on data pipeline optimization; communicate findings to non-technical stakeholders; ensure responsible AI practices.
Seniority
Mid-level, hands-on IC
