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

Qualcomm


Location:
San Diego, California
Date:
03/30/2017
Categories:
  • Data Scientist
  • Data Analytics
  • Statistician
  • Business Intelligence
Qualcomm
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Job Details

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 three years experience in applying statistics, machine learning and/or operations research techniques to commercial efforts.
  • Computer programming in Python and R
  • Relational database/ SQL experience, and unstructured database experience

     

Preferred Qualifications

  • Experience applying advanced statistical learning and modeling techniques to diverse types of data, including text and images.
  • Deep understanding of core statistical concepts, such as probability, randomness, correlation and sampling distributions.
  • Deep understanding of modern machine learning methods for regression and classification.
  • Applications of supervised and unsupervised machine learning techniques.
  • Presentations and publications at Data Science, Machine Learning, or Artificial Intelligence conferences
  • Strong written and verbal communication skills
  • Strong analytic and problem solving skills with demonstrated experience in post-university implementations.

     

Education Requirements

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