+1(514) 937-9445 or Toll-free (Canada & US) +1 (888) 947-9445

NOC Clarification

sgrv

Star Member
Sep 11, 2018
178
74
Hi, I would appreciate if someone could help me with choosing the correct NOC for my work experience.

I have 2 jobs I'm claiming experience for:

Job 1:
  • building mathematical models for applying machine learning algorithms (such as logistic regression, support vector machines, random forests, gradient boosting machines, deep learning) and statistical approaches to predictive modeling problems
  • mining text data and deriving insights from it using computer models
  • discovering and distilling problems that can be tested
  • solving problems with big data and large volumes of data from multiple and varied data sources
  • identifying imperfections in raw data and anticipating potential downstream problems
  • modeling approaches and selecting the appropriate storage technology for a given problem.
  • through his work, gained experience with building mathematical models using computing environments in Python and R, specifically with modules Numpy, Scipy, scikit-learn, h2o, Theano, TensorFlow, and Keras.

Job 2:
  • building predictive mathematical models for conversational artificial intelligence
  • mining text data and creating language models using deep learning approaches
  • designing, developing, and maintaining predictive models for our Natural Language Understanding engine, for topic modeling, entity extraction, sequence generation, and question-answering
  • researching and implementing new state-of-the-art methods for such mathematical models
I am thinking of choosing NOC 2161 - Mathematicians, statisticians and actuaries as this matches my job duties the closest:

Lead statement

Mathematicians and statisticians research mathematical or statistical theories, and develop and apply mathematical or statistical techniques for solving problems in such fields as science, engineering, business and social science. Actuaries apply mathematics, statistics, probability and risk theory to assess potential financial impacts of future events. Mathematicians, statisticians and actuaries are employed by universities, governments, bank and trust companies, insurance companies, pension benefit consulting firms, professional associations, and science and engineering consulting firms.

Main duties

Mathematicians, statisticians and actuaries perform some or all of the following duties:

Mathematicians
Conduct research to extend mathematical knowledge in traditional areas of mathematics such as algebra, geometry, probability and logic
Apply mathematical techniques to the solution of problems in scientific fields such as physical science, engineering, computer science or other fields such as operations research, business or management.

Statisticians
Conduct research into the mathematical basis of the science of statistics
Develop statistical methodology and advise on the practical application of statistical methodology
Apply statistical theory and methods to provide information in scientific and other fields such as biological and agricultural science, business and economics, physical sciences and engineering, and the social sciences.

Actuaries
Apply mathematical models to forecast and calculate the probable future costs of insurance and pension benefits
Design life, health, and property insurance policies, and calculate premiums, contributions and benefits for insurance policies, and pension and superannuation plans
May assist investment fund managers in portfolio asset allocation decisions and risk management. They also use these techniques to provide legal evidence on the value of future earnings.

--------------
Is this the right choice? I cannot find anything that specifically mentions data science or machine learning.