Data Scientist / Senior Data Scientist, Software Engineering

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 5 months ago
3-5 years
Cupertino, California, United States
work from office

Posted: 5 months ago
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Applicants: 149+
Job Description
About Company
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Job 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.
  • 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.

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  • 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.

Skills

Big Data TechnologiesPythonSoftware DevelopmentSql

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About Company

Apple Inc., formerly Apple Computer, Inc., is a Silicon Valley–based multinational technology company headquartered in Cupertino, California. It designs, manufactures, and markets premium consumer electronics, software, and online services. Iconic products include the iPhone, iPad, Mac, Apple Watch, and Apple TV, alongside services such as Apple Music, iCloud, Apple Pay, Apple Arcade, Apple TV+, and the App Store. Operating systems now span iOS, iPadOS, macOS, watchOS, and visionOS.

As of August 2025, Apple ranks #3 globally by market capitalization (≈ US $3.4 trillion) and reported FY 2024 revenue of US $391 billion. It remains the second‑largest smartphone maker and fourth‑largest PC vendor worldwide, while expanding into AI‑powered devices, sustainable technology solutions, and mixed‑reality platforms like the Apple Vision Pro.

For professionals exploring Apple India careers, the company offers opportunities across hardware, software, design, retail, and operations, with office hubs in Bengaluru, Hyderabad, Mumbai, and Gurugram. Apple’s interview process in India is known for its rigor, cultural fit focus, and innovation‑driven assessment — attracting engineers, designers, and business talent passionate about shaping future‑ready technology.

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Important dates & deadlines?

Application Deadline

22 Dec 25, 02:45 PM IST

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Data Scientist / Senior Data Scientist, Software Engineering

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