Data Scientist with Machine Learning (ML)

Published
October 30, 2020
Location
Sunnyvale, CA
Category
Job Type

Description

Data Scientist with Machine Learning (ML)

Duration: Long Term

NEED THE CANDIDATE ON OUR W2 BASIS

Key Qualifications: 

  • 5 years as a Data Scientist or analyst.  
  • Excellent Machine Learning (ML) Experience.
  • Battery Engineering experience desired. 
  • Strong working knowledge of Minitab, JMP, Python is necessary. 
  • Candidate must have solid competency in statistics and the ability to provide value-added analysis.  
  • Working knowledge and experience with big data.  
  • Provide insight into problem-solving by using engineering skills and all available data. 
  • Our issues involve out of box quality, warranty and post-warranty failures as well as ETL, stitching, and mining up to 40 TB stitched data sets. 
  • Self-starter with entrepreneurial experience and the ability to interact with other functions in a matrix environment. 
  • Proven creativity to go beyond current tools to deliver the best solution to the problem. 
  • Familiarity with database modeling and data warehousing principles.


Job Description: 

  • Be able to analyze factory, user, and failure data and use engineering understanding mechanisms to resolve battery problems.  
  • Understand end to end nature of Apple DB to organize proper sample size, proper key pull and minimize SQA issues with maximum efficiency
  • Design, implement, process and interpret data  
  • Automate reporting where possible to make team more efficient
  • Utilize advanced technologies, for modeling enhancements
  • Work with diverse teams including data scientists, engineers, product managers, and executives
  • Deliver high-quality analytic insights from a very large scale data warehouse
  • Set up a quality reporting system for sharing information
  • Provide ad-hoc reporting as necessary (sometimes urgent escalation) 


Education: 

  • MS or Ph.D. in Battery Engineering, Data Mining, Machine Learning, Statistics, Operations Research or related field.  
  • CSSBB, CQE desired.

rayne(at)xenoninfotech(dot)com

732 515 4277

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