Margaret Reed | Data Scientist at Apple

About me

Celebrating Apple's 50th!

I work as a Data Scientist at Apple in Worldwide Product Marketing Finance, specializing in customer analytics — translating segmentation insights and accurate forecasts into clear, actionable narratives for executive and cross-functional audiences.

Having grown up in Chapel Hill, NC, I have always enjoyed living near a university. While attending Duke University for undergrad and Columbia University for my master's, I had the opportunity to pursue research and teaching alongside my studies. In undergrad, I worked with a research group analyzing long-term ecosystem data from the ELA (Experimental Lakes Area), and taught as an Undergraduate Teaching Assistant for STA 199 and CS 216. After all that school, I joined Apple full-time as a Data Scientist in Worldwide Product Marketing Finance.

Outside of work, I love to travel — some of my favorite destinations so far have been the UK, Costa Rica, Denmark, and Sweden. I love music and have been playing the cello for over 10 years.

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Experience

Apple — Data Scientist (Oct. 2024 – Present)
Worldwide Product Marketing Finance

Forecasted product usage with 90% accuracy using feature engineering, external data, and XGBoost
Spearheaded multi-team effort to create an executive geo dashboard with 200+ stakeholders across marketing, sales, and finance
Spearheaded the data science team’s AI evolution, developing POCs for automation, collaboration, and education
Analyzed customer segments to inform business teams on audience behavior and growth opportunities
Automated Keynote reporting across 20+ countries, reducing manual effort in recurring business reviews
Built live Tableau dashboards for executives to monitor product performance

Apple — Data Engineer (Rotation) (Mar. – Sep. 2024)

Designed and developed an LLM-based chatbot for data insights, incorporating full-stack development with APIs, Snowflake integration, and hosting
Implemented features for data analysis, visualization, and summarization within the chatbot
Mentored summer interns on their projects

Apple — Data Engineering Intern (May – Aug. 2023)

Created a tool to recommend compute warehouses for Snowflake queries, integrating ML models and APIs with existing Airflow pipelines. Placed top 3 out of 150 intern groups in Apple’s iContest pitch competition.

Duke University — Undergraduate Teaching Assistant (Jan. 2021 – May 2022)

Teaching assistant for STA199 (Intro to Data Science) and CS216 (Everything Data). Graded work, held office hours, led lab sections, and mentored students on projects.

Lenovo — Data Visualization Intern (June – July 2021)

Supported migration from Qlik Sense to Microsoft Power BI for the Digital Transformations team. Created a 30+ page Power BI report with fully functioning dashboards. Won Best Overall Quality Award and Peers Choice Award for the Lenovo Incubator Project.

Amazon — SDE Intern (May – Aug. 2020)

Developed an internal query tool for cross-referencing data across multiple databases, owning both frontend and backend. Built in Java (Spring MVC), JavaScript, and SQL.

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