Data Scientist, US Decision Intelligence
Core
Build and scale automated insight pipelines and GenAI-powered tools to detect sales opportunities, diagnose performance issues, and recommend actions for Apple's US Sales organization.
Role type
Senior IC data scientist (decision intelligence & GenAI)
Builds
AI agents, dashboards, and GenAI-powered tools for sales teams
Domain
Retail sales, predictive analytics, Generative AI
Deliverable
production ML models
Required skills
predictive modeling, LLM prompt engineering, statistical analysis, causal inference, A/B testing, SQL, Python, data visualization, Git, cloud data platforms
Preferred skills
GenAI frameworks (LangChain, LlamaIndex), LLM observability, vector databases, agent architectures, MLOps, drift detection
Technologies
Python, SQL, Snowflake, Spark, BigQuery, Tableau, d3, plotly, Docker, Kubernetes, FastAPI, LangChain, LlamaIndex, LangSmith, Weights & Biases, TruLens
Responsibilities
Lead end-to-end insight development from data prep to LLM prompt engineering; Design and deploy ML models for forecasting, anomaly detection, and attribution; Build RCA and recommendation engines; Analyze agent interactions and implement LLM evaluation pipelines; Support experimentation and A/B testing; Partner with AI engineers and PMs to scale features; Act as a data translator between technical teams and business stakeholders.
Seniority
Senior, hands-on IC
