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 Data Scientist, SPG Systems Engineering - 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: 200120447 / Latpro-3736843 
Date posted: Apr-21-2020
State, Zip: California, 95014


Data Scientist, SPG Systems Engineering

Santa Clara Valley (Cupertino) , California , United States



Posted: Nov 4, 2019

Role Number: 200120447

Play a role in bringing autonomous technologies to the real world. We are looking for an experienced and highly motivated data scientist to partner with us in our efforts to measure and evaluate autonomous technologies. You will help engineer and generate data-driven insights into system performance and testing, as well as provide a sound statistical basis for determining the performance of autonomous software systems.

Key Qualifications

  • Experience working with large datasets (Hadoop/Spark preferred)
  • Expertise in statistical modeling (supervised and unsupervised methods), statistics of rare events, and long tail distributions
  • Experience developing data science pipelines, tool-chains, and workflows in Python and C++
  • Experience designing a measurement strategy to evaluate the performance of complex systems against challenging requirements, including A/B experiment design
  • Ability to create clear and meaningful data visualizations (matplotlib, bokeh, plotly, etc)
  • Experience with experimental design loops for integrated SW/HW systems
  • Experience with geospatial datasets & tool-chains (PostGIS a plus)
  • Signal processing background, including cleaning data, handling missing data, filtering techniques, linear/nonlinear fitting


Assess readiness of autonomous systems based on rigorous statistical methods Develop informative data visualizations based on scalable data pipelines and analysis Develop and execute performance measurement strategy for autonomy systems Deploy novel analytic strategies to evaluate accuracy of simulation methods against real-world data Develop a statistical basis for determining sufficient depth and breadth of autonomous software simulation testing

Education & Experience

MS/PhD (or equivalent experience) in Physics/Applied Math preferred, CS/Data Science/Mathematics/Statistics/EE or other Scientific background

Additional Requirements

  • 3+ years data science background including data analytics, modeling, visualization, study design, and statistical methods
  • Clear and concise written and verbal communication skills


See job description


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