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Latin America AIML Data Scientist (Decision Intelligence)

Apple· Sales and Business Development
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Hybrid (Sao Paulo)full-timePosted 4mo ago

About the role

ALAC Decision Intelligence (DI) team at Apple seeks a Data Scientist to build, operate, and scale analytical solutions that impact Apple Sales and customers. The role combines end-to-end data science work—from data prep and modeling to translating insights into actionable actions for sales teams—along with embedding insights into GenAI tools and dashboards.

Responsibilities

  • Build and scale the automated insight pipeline powering the ALAC sales organization, developing ML models that detect opportunities, diagnose performance issues, and recommend actions
  • Lead end-to-end insight development: data preparation, statistical analysis, and LLM prompt engineering to translate findings into sales-ready insights
  • Design and deploy ML models for forecasting, anomaly detection, attribution modeling, and causal inference
  • Embed insights into AI agents, dashboards, and GenAI-powered tools used by sales teams
  • Build RCA and recommendation engines to enhance summarization and chatbot capabilities
  • Analyze agent interactions and implement LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction
  • Support experimentation and A/B testing for new insight types and interaction methods
  • Partner with AI engineers and PMs to scale features across regions and tools
  • Influence upstream data model design, KPI definitions, and develop data solutions as needed
  • Act as a data translator between technical teams and business stakeholders
  • Lead and influence teams on translating business problems into data science models
  • Translate business problems into technical solutions and communicate findings to non-technical stakeholders
  • Co-develop with data scientists and software engineers in production environments
  • Manage time and priorities across multiple teams

Qualifications

  • 4+ years of experience in a Data Science, Data Analysis, or Data Visualization role
  • Hands-on experience with LLMs, RAG architectures, and prompt engineering
  • Strong proficiency in Python and ML/data science libraries
  • Applied knowledge of statistical data analysis, predictive modeling, classification, time series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis
  • Proficiency in SQL and experience with cloud data platforms (Snowflake, Spark, BigQuery, etc.)
  • Expertise with data visualization tools (Tableau, d3, plotly, etc.) for data analysis and presentation; Tableau Server, TabPy, and Extensions a plus
  • Experience with Git and collaborative development workflows
  • Familiarity with deployment frameworks and tools (Docker, Kubernetes, FastAPI, or similar)
  • Comfort with ambiguity; ability to structure complex analysis through data analysis and strategy research
  • Proven ability to translate business problems into technical solutions and communicate findings to non-technical stakeholders
  • Experience co-developing with data scientists and software engineers in production environments
  • Strong time management skills and ability to collaborate across multiple teams
  • Able to balance competing priorities, long-term projects, and ad hoc requirements
  • Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or related field
  • Fluent in English and Portuguese
  • Spanish proficiency

Skills

Required:Data ScienceLLMs and prompt engineeringPythonSQLCloud data platformsData visualizationGit & collaborative workflowsCommunicationStakeholder managementBilingual/Multilingual
Nice to have:Deployment/MLOps

Benefits

  • (Not explicitly listed in the description)
Last updated Jul 3, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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