9 days old

Data Scientist, SPG Ops Analytics

Cupertino, CA 95014
  • Job Code
  • Jobs Rated


Posted: Feb 17, 2021

Role Number:200223920

At Apple, we take pride in surprising and delighting our customers with innovative products and services that enrich lives. The pe...Summary


Posted: Feb 17, 2021

Role Number:200223920

At Apple, we take pride in surprising and delighting our customers with innovative products and services that enrich lives. The people here at Apple explore ideas that create new markets and revolutionize how people live. They believe better solutions exist and focus on defining and perfecting them. Bring your passion, dedication, and expertise and find out how much you can make a difference. Join Apple and help us make the world better for our future generations.

We are seeking Data Scientist in Operations Analytics Group to create actionable analytics solutions and drive performance improvements within a fast-growing field engineering organization. Your expertise will support key operations-based initiatives within a Research and Development organization that will massively impact critical deliverables. We want you to help drive Apple's strategy for data architecture, reporting, and analytics landscape to support a key vertical.

Your combination of business insight and technical knowledge will be used to develop and deliver useful insights, one time analysis, designing and deploying Key Performance Measures via regular reports in support of rapid decision-making, actionable analytical solutions to increase efficiency.

Key Qualifications

  • Deep expertise in utilizing Advanced analytics, and Machine Learning to provide actionable solutions
  • Long term experience (10+ years) in transforming data into useful insights, and actionable analytical solutions
  • Expertise and experience (7+ years) in applying statistical methods to mine data and design Key Performance Measures
  • Keen interest and training in using Machine Learning (Deep Learning, Natural Language Processing) to automate processes and gain operational efficiency
  • Seasoned hands-on programmer with (5+ years) experience in data exploration programming languages such as Python, R, and familiarity with GitHub and PyCharm
  • Solid experience with (4+ years) writing complex SQL queries in a business environment
  • Experience (2+ years) with data visualization tools including Tableau and ability to adapt to any new visualization tools or web application
  • Familiarity with cloud computing such as AWS and relational databases including PostgreSQL
  • Analytical mindset and ability to see the big picture and connect the details
  • Problem solving perspective to "get things done" and proven operational effectiveness
  • Independent self-organizing, and able to manage multiple complex assignments
  • Develop productive cross-functional relationships and influence the right people, across different functions within the company by unlocking the potential of every relationship.
  • Able to work effectively on ambiguous data and constructs within a fast-changing environment, tight deadlines and rapid change in priorities


In this role, you will partner with leaders to:
Identify and formulate specific business questions
Explore databases to design consistent and explainable definitions of key concepts
Deploy simple yet relevant reports to be used for making timely decisions
Test dataflows designed by data engineers
Develop Machine Learning Models to automate processes to gain operational efficiency.

You'll ensure accurate, comprehensive, and clear insight is easily available to key leaders within the organization. Your analytics expertise will have extraordinary impact to our organization and Apple.

Education & Experience

Masters in Statistics, Data Science, Business Analytics, Computer Science, Finance, or related field. PhD is a plus.

Additional Requirements

Jobs Rated Reports for Data Scientist

Posted: 2021-02-17 Expires: 2021-03-19

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Data Scientist, SPG Ops Analytics

Apple, Inc.
Cupertino, CA 95014

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Data Scientist
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Median Salary: $114,520

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