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Data Scientist (Senior to Senior Staff, Engineer level) - Qualcomm

Qualcomm


Location:
San Diego, California
Date:
04/13/2017
Categories:
  • Data Scientist
  • Data Engineer
  • Data Analytics
Qualcomm
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Job Details

Company - Division Qualcomm Technologies, Inc. - CDMA Technology

Job Area Engineering - Hardware

Location California - San Diego

 

Job Overview This Data Scientist position will provide machine learning, statistical, and computer system solutions for the enhancement of semi-conductor chip qualities and the improvement of engineering management decision-making. The Data Scientist will be part of the Engineering Advanced Analytics team, in QCT Central Engineering Technologies. Candidate will tackle diverse problems using a broad range of techniques, such as, Neural Networks, SVM, Clustering, CART, Bayesian Networks, ARIMA, Logistic Regression, Linear Programming, etc. Write computer programs to develop systems to support implementation of analytics in decision making.

Requirements

Minimum Qualifications

  • Minimum of three years experience after the completion of graduate studies in applying statistical learning and modeling techniques to diverse types of data, including text and/or images.
  • Understanding of core statistical concepts, such as probability, randomness, correlation and sampling distributions.
  • Understanding of modern machine learning methods for regression and classification.
  • Applications of supervised and unsupervised machine learning techniques.
  • Computer programming in Python and R
  • Relational database/ SQL experience, and unstructured database experience

     

Preferred Qualifications

  • Three years experience in semiconductor industry
  • Presentations and publications at Data Science, Machine Learning, or Artificial Intelligence conferences
  • Strong written and verbal communication skills

     

Education Requirements MS in Statistics, Computer Engineering, Computer Science, Operations Research, Data Science, Advanced Analytics, or other Quantitative field.