Latin America AIML Data Scientist (Decision Intelligence)

Lex; São Paulo; On-site; BRL 821,000 - 1,150,000; Full time

Job summary

Apple's ALAC Decision Intelligence team seeks a data scientist to craft, implement, and operate analytical solutions impacting sales and customers. You will build end-to-end models, visualizations, and insights from sales performance, market data, and programs, guiding decision making across teams.

The role spans pipeline development, GenAI integration, experimentation, and collaboration with data engineers, software developers, and business stakeholders to translate problems into scalable data

Qualifications

• 4+ years of experience in Data Science, Data Analysis, or Data Visualization.
• Hands-on experience with LLMs, RAG architectures, and prompt engineering.
• Strong Python and ML/data science libraries.
• Proficiency in SQL and cloud data platforms (Snowflake, Spark, BigQuery).
• Experience with data visualization tools (Tableau, Plotly, d3).

Responsibilities

• Build and scale the automated insight pipeline powering the sales organization.
• Lead end-to-end insight development: data prep to prompt engineering.
• Design and deploy ML models for forecasting and anomaly detection.
• Embed insights into AI agents, dashboards, and GenAI tools.
• Collaborate with engineers and PMs to scale features across regions.
• Translate business problems into technical solutions and communicate findings.

Skills

Data Science

Python

SQL

LLMs

Prompt engineering

Statistical analysis

Time Series

Visualization

Education

Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or related field

Tools

Snowflake

Spark

BigQuery

Tableau

Tableau Server

Plotly

D3

LangSmith

Weights & Biases

TruLens

LangChain

Kubernetes

Docker

Job description

Summary

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!

Apple's ALAC Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers. As an ALAC DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging sales performance data,

market data, programs, external data, and more.

This role will operate in both capacities — augmenting existing data solutions as well as innovating and trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision‑making.

Analytics is a team sport and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Description

Insight Pipeline & ML Development

• Build and scale the automated insight pipeline that powers the ALAC sales organization — developing ML models that detect opportunities, diagnose performance issues, and recommend actions
• Lead end‑to‑end insight development: from data preparation and statistical analysis to LLM prompt engineering that translates findings into sales‑ready insights
• Design and deploy ML models for forecasting, anomaly detection, attribution modeling, and causal inference — either building custom solutions or adapting Apple's existing ML services

GENAI & Agent Integration

• Embed insights into AI agents, dashboards, and GenAI‑powered tools used by sales teams
• Build RCA and recommendation engines that enhance summarization and chatbot capabilities
• Analyze agent interactions and implement LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction

Experimentation & Scaling

• 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, drive KPI definitions, and develop your own data solutions as needed

Translation & Stakeholder Partnership

• Act as a data translator, bridging the gap in expertise between technical teams — data analysts, data engineers, software developers — and business stakeholders, with the ability to speak the language of both

Minimum 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. Experience with Tableau Server, TabPy, and Extensions is 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 with the 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 a related field
• Fluent in English and Portuguese

Preferred Qualifications

• Production experience with GenAI frameworks
• (LangChain, LlamaIndex, Haystack, etc.)
• Familiarity with LLM observability and evaluation tools (LangSmith, Weights & Biases, TruLens, etc.)
• Experience with vector databases, embedding models, and retrieval algorithms
• Knowledge of agent architectures and knowledge graphs for LLM applications
• Experience with CI/CD pipelines and MLOps practices
• Experience with drift detection and model monitoring in production
• Track record of presenting insights to senior leadership and influencing business strategy
• Sound communication skills — adept at messaging domain and technical content at a level appropriate for the audience.
• Strong ability to gain trust with stakeholders and senior leadership
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field
• Spanish proficiency

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug‑free workplace.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Role Number: 200667244-3456