Data Scientist / Senior Data Scientist, Software Engineering at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, SQL, Python, R, Data Visualization, Statistics, Machine Learning, Data Engineering, Product Analytics, Distributed Computing, GenAI, LLMs, Big Data Technologies, Analytical Frameworks, Communication Skills, Collaboration

Industry

Computers and Electronics Manufacturing

Description

At Apple, you’ll accomplish truly phenomenal things. The SWE Data Science team analyzes and produces insights from diagnostic and usage data from hundreds of millions of devices all over the world. We collaborate with teams across Apple including Engineering, Product, Marketing and Finance to solve challenges and improve the user experience. We are looking for an ambitious data scientist that is excited to work with large, complex datasets and shape the future direction of our products. DESCRIPTION As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will apply quantitative methods and statistical techniques to conduct exploratory data analysis, define new metrics, create compelling data visualizations, and develop analytical frameworks that translate raw data into actionable software development opportunities. You will own the analytical process end-to-end, from architecting and designing scalable and efficient data processing pipelines to conducting deep dive analyses and communicating the results. You will also explore new opportunities to innovate with GenAI and LLMs to accelerate our team’s velocity and impact. We are a fast-paced and high-functioning team of data scientists that use the latest Big Data technologies and GenAI to tackle complex, large-scale problems using immense quantities of collected data. This team works closely with core operating systems (iOS, macOS, iPadOS, watchOS and visionOS), application development, and other cross-functional teams across Apple’s platforms. The ideal candidate has a strong technical background and is excited to work on a collaborative and innovative team. MINIMUM QUALIFICATIONS Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience. Strong proficiency in SQL and at least one programming language, such as Python or R, and experience with data visualization platforms (e.g. Tableau, Looker). 3+ years of data science or related experience, preferably in a consumer tech company. Strong fundamentals in data engineering, product analytics, statistics, and machine learning. Experience with distributed computing frameworks like Spark, Hadoop or Flink. Excellent interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical teams. Self-motivated and intellectually curious, with a demonstrated ability to thrive in ambiguous problem spaces. PREFERRED QUALIFICATIONS Experience with LLM-driven workflows or leveraging GenAI to augment and improve Data Science workflows. Experience designing and building scalable data systems and pipelines to support complex, large-scale analytics initiatives. Strong product mindset and commitment to improving the user experience.

Responsibilities

As a data scientist on the SWE Data Science team, you will use data to drive product decisions and improvements. You will own the analytical process end-to-end, from architecting and designing scalable data processing pipelines to conducting deep dive analyses and communicating the results.