Decision Intelligence Data Scientist - Sales Insights

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

Apple’s US Decision Intelligence team seeks a Data Scientist to craft, implement, and operate analytical solutions with measurable impact on Sales and customers. You will build end-to-end insights, develop ML models for forecasting, attribution, and anomaly detection, and embed findings into dashboards and AI tools for sales teams.

You will translate business problems into technical solutions, work with data analysts and software engineers, and influence KPI definitions while scaling features

Qualifications

• 4+ years in Data Science, Data Analysis, or Data Visualization.
• Hands-on experience with LLMs, RAG architectures, and prompt engineering.
• Proficiency in Python and ML/data science libraries.
• SQL and cloud data platforms; data visualization tools.

Responsibilities

• Lead end-to-end insight development from data prep to prompt engineering.
• Design and deploy ML models for forecasting, anomalies, and causal inference.
• Build RCA and recommendation engines for summarization and chatbots.
• Analyze agent interactions and implement LLM evaluation pipelines.
• Collaborate with AI engineers and PMs to scale features across regions.

Skills

Python

SQL

Data visualization

LLMs & prompting

Communication

Cross-functional

Time management

Education

Bachelor's in CS/Statistics/Engineering/Economics

MS or PhD preferred

Tools

Tableau Server

Git

Docker

Kubernetes

LangChain

LlamaIndex

Haystack

Job description

Apple’s US Decision Intelligence team seeks a Data Scientist to craft, implement, and operate analytical solutions with measurable impact on Sales and customers. You will build end-to-end insights, develop ML models for forecasting, attribution, and anomaly detection, and embed findings into dashboards and AI tools for sales teams.

You will translate business problems into technical solutions, work with data analysts and software engineers, and influence KPI definitions while scaling features