Electron microscopy
 
Comparison of Qualifications and Skills between Data Science Managers,
Engineers and Scientists
- Python for Integrated Circuits -
- An Online Book -
Python for Integrated Circuits                                                                                   http://www.globalsino.com/ICs/        


Chapter/Index: Introduction | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | Appendix

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Table 4280. Comparison of qualifications and skills between data science manager, engineering and scientist. The items in green are the most important for the job role.
  Data science manager Data engineer Data scientist
Programming Languages 5+ years of experience on R   R
  5+ years of experience on Python   Python
  5+ years of experience on Scala   Scala
  Understanding SQL   SQL
      Java
      SAS
      MATLAB
      Julia
Predictive modeling 5+ years of experience    
Statistical modeling 5+ years of experience    
Machine learning 5+ years of experience    
Statistics and Mathematical Skills     Discrete vs. Continuous Data
      Binomial Distribution
      Regression
      Hypothesis Testing
      Bayesian Thinking & Modeling
      Machine Learning
      Markov Chains
Software and Analytical Tools     KNIME
      Weka
      RapidMiner
      Apache Hadoop
      Apache Spark
      Data Melt
      Apache Storm
      TensorFlow
Data Visualization Skills     Tableau
      Google chart
      D3.js
      JupyteR
      Orange
Non-Technical Skills     Communication Skills
      Data-driven Decision Making
      Domain Knowledge And Business Acumen
      Teamwork
      Intellectual Curiosity And Passion For Work
      Good Data Intuition
      Project Management Skills
Focus on impact Yes    
Manage client expectations Yes    
Manage team member expectations Understand the role of the team, and lead the team    
Protect your team    
Develop your team    
Help the team prioritize Yes    

 

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