Data Scientist
Core
Build end-to-end analytical solutions and automated insight pipelines for Apple's US Sales organization using predictive modeling, LLMs, and GenAI tools to drive decision-making.
Role type
Senior IC Data Scientist (Sales Decision Intelligence)
Builds
Automated insight pipelines, ML models for forecasting/anomaly detection, AI agents, and GenAI-powered dashboards for sales teams.
Domain
Retail Sales / Machine Learning / Generative AI
Deliverable
production ML models
Required skills
Python, SQL, LLMs, RAG architectures, prompt engineering, statistical analysis, predictive modeling, time series, causal inference, data visualization, Git, Docker, Kubernetes, FastAPI
Preferred skills
GenAI frameworks (LangChain, LlamaIndex), LLM observability, vector databases, agent architectures, MLOps, drift detection, advanced degree in quantitative field
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 causal inference; 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
