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 Data Scientist - Austin, Texas, 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: 200190122 / Latpro-3756690 
Date posted: Oct-03-2020
State, Zip: Texas, 78729

Description

Data Scientist

Austin , Texas , United States

Software and Services

Summary

Posted: Oct 2, 2020

Weekly Hours: 40

Role Number: 200190122

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Apple's Strategic Data Solutions (SDS) team is looking for a talented individual who is passionate about crafting, implementing, and operating analytical solutions that have direct and measurable impact to Apple and its customers. As an SDS data scientist, you will employ predictive modeling and statistical analysis techniques to build end-to-end solutions for improving security, fraud prevention, and operational efficiency across the company, from manufacturing to fulfillment to apps and services. Apple's dedication to customer privacy, the adversarial nature of fraud, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of existing data science methods while delivering tangible business value.

Key Qualifications

  • Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detection
  • Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and Spark
  • Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
  • Ability to comprehend and debug complex systems integrations spanning toolchains and teams
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns
  • Excellent presentation skills, distilling complex analysis and concepts into concise business-focused takeaways
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches

Description

  • Engage with business teams to find opportunities, understand requirements, and translate those requirements into technical solutions
  • Design data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problem
  • Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions
  • Ensure operational and business metric health by monitoring production decision points
  • Investigate adversarial trends, identify behavior patterns, and respond with agile logic changes
  • Communicate results of analyses to business partners and executives
  • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team

    Education & Experience

  • Ph.D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or
  • Ph.D. in Math, Engineering, Economics, or hard science with data science fellowship; or
  • M.S. in related field with 3+ years experience applying data science to real business problems



  • Requirements

    See job description

     

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