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 Senior Data Scientist, Input Experience - Cupertino, California, United States

   
Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
 
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
 
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200232631 / Latpro-3781551 
Date posted: Mar-27-2021
State, Zip: California, 95014

Description

Senior Data Scientist, Input Experience

Santa Clara Valley (Cupertino) , California , United States

Software and Services

Summary

Posted: Mar 26, 2021

Weekly Hours: 40

Role Number: 200232631

At Apple, our goal is to provide an effortless input experience to everyone, no matter what languages they speak, across modalities, with world-class intelligence at the core. The Input Experience organization is directly responsible for keyboard and pencil input across multiple platforms. We also work very closely with the Siri speech team to seamlessly integrate dictation into our user's text input. We are looking for an experienced Data Scientist to help us develop insights into how Apple customers experience our input technologies. This includes but is not limited to: - Accuracy of our intelligent algorithms such as autocorrection and QuickPath. - Usage of specific features including engagement - Soft spots in our technology stack that might contribute to user frustration These insights will be developed via a combination of metrics, A/B testing, user studies/surveys and other data-oriented approaches.

Key Qualifications

  • Foundation in data science, machine learning, and analytics, including statistical data analysis and A/B testing.
  • 5+ years of proven experience building data science driven solutions to solve business problems.
  • Ability to dive into into the details on product features and underlying architecture in order to help define success criteria and the ways we can measure that via metrics and other approaches. This will involve close collaboration with the engineering teams that develop those features.
  • Conceive and design end-to-end optimized data modeling pipelines and customer analytic scripted solutions using Python and/or Spark.
  • Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
  • Solid experience working with Tableau or other data visualization technologies.
  • Ability to work cross-functionally with other Apple organizations including Marketing, Data Analytics, User Studies, Siri and application development teams.
  • Strong communication skills and the ability to naturally explain difficult technical topics to everyone from data scientists to engineers to business partners and leaders.
  • Experience/interest in working across different global cultures and languages. Knowledge of other languages (e.g, Chinese, Japanese, Arabic) is a plus!

Description

The Input Experience organization is looking for an experienced and highly motivated data scientist! You will partner across engineering groups building world class intelligent input, and evangelize a culture of using data to measure, understand, and improve our products and features. You have a background that fuses data science, engineering, and product thinking. You have years of practical experience building measurement, evaluation, and insights to improve products. IN THIS ROLE, YOU WILL: - Work closely with leadership and engineering teams to help define and prioritize the insights we need to make the very best products - Drive the generation of insights from raw, unstructured data to improve existing features and explore future directions. Develop extensive knowledge of existing metrics, advocating for changes where needed. - Work closely with engineering teams to guarantee the consistency and validity of metrics across platforms, modalities and languages. - Conduct analysis that includes data gathering and requirement specifications, processing, analysis, and report generation. - Drive regular insights reports and presentations with Apple's leadership teams. - Tackle difficult, non-routine analysis problems, applying advanced analytical methods as needed. - Partner with your peers to build and prototype analysis pipelines that provide insights at scale. - Promote adoption of best practices and build greater awareness of common data analysis pitfalls.

Education & Experience

Advanced degree in CS, Data Science, Operational Research, Bioinformatics, Statistics or other quantitative field.



Requirements

See job description

 

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