> Markdown version of [/jobs/ext/1977951-data-scientist-insights-and-analytics](https://www.wearedevelopers.com/jobs/ext/1977951-data-scientist-insights-and-analytics). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Scientist - Insights and Analytics

- **Company:** Apple Inc.
- **Location:** Austin, TX, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Airflow, Amazon Web Services, Data Analysis, Computer Engineering, D3.Js, Information Engineering, Data Transformation, Data Systems, Data Visualization, Data Warehousing, Distributed Data Store, Python (Programming Language), NumPy, Cloud Services, Software Engineering, Cloud Platform System, Large Language Models, Snowflake, Prompt Engineering, Apache Spark, Pandas, Scikit Learn, Information Technology, Data Analytics, Data Pipelines
- **Published:** August 7, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3343349901&tx=FP8178FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* BS/BA in Computer Science, Software Engineering, Data Science, or equivalent degree
 * 1-3 years of experience in business analytics, including surfacing insights, exploring data trends, and communicating findings to stakeholders
 * 1-3 years of experience with data pipelines, data modeling, or data warehousing concepts, ideally in cloud-based platforms like AWS or Snowflake
 * Working proficiency in Python for data analysis and pipeline tasks, including familiarity with pandas, NumPy, and data visualization libraries
 * Eager problem-solver comfortable working through ambiguity, managing tasks, and collaborating with senior team members to deliver projects
 * Exposure to cloud data platforms (AWS, Snowflake) and/or pipeline orchestration tools (e.g., Airflow, dbt) is a plus, * Coursework or project experience with scikit-learn or basic forecasting/statistical modeling
 * Familiarity with dbt, Apache Spark, or similar data transformation frameworks
 * Experience collaborating on team projects involving data quality or monitoring
 * Interest in prompt engineering or using LLMs for data analysis and automation workflows
 * Familiarity with JavaScript for data visualization (e.g., D3.js, Observable) is a plus

## Description

Hardware Engineering is seeking a Data Scientist to support the intersection of data engineering and business intelligence - helping build the infrastructure that powers data-driven decisions while delivering analytics and insights that inform strategic direction. The ideal candidate brings a solid foundation in both data pipeline engineering and analytics, with a passion for learning to architect data systems and translating outputs into clear, actionable insights. You'll work closely with senior team members and leadership to support workforce planning and operations analytics, growing your skills across the full data lifecycle while contributing to high-impact projects spanning infrastructure and insight., You'll work across the data stack - helping build and maintain the infrastructure that enables insight, then using that infrastructure to help answer business questions under the guidance of senior team members. Projects will span pipeline development, data modeling, workforce planning, operational analytics, and strategic initiatives across Hardware Engineering. This role requires collaboration within a multi-disciplined, geographically distributed data science team, contributing to both the engineering foundation and the analytics layer built upon it, while working with business stakeholders and platform teams to support the end-to-end data lifecycle. You'll participate in business analytics projects through all phases - helping define investigations, exploring data, conducting analysis, and presenting results to business customers.


## Related Videos

- [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization)
- [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast)
- [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript)
- [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail)
- [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data)
- [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)