NOC code for Data Scientist for PNP program in Ontario and BC

[dipjyoti]

Hi,

I am an experienced Data Scientist (>8 years) in US. Last year, I had applied for IRCC express entry with CRS score - 464 but it was not picked. Now, due to age my score has dropped to 454. I am planning to apply PNP nomination in Ontario or British Columbia. The PNP nomination is given to selected NOC codes.

My work requires computer science application of data structures, algorithms, object-oriented programming (Python), Mathematics, optimization and Machine Learning model development as we are building a customer mapping engine product which is an unsupervised ML recommendation engine, this product is a part of platform for the company. My other work experience deals with text analytics-NLP, Deep learning ML models, Forecasting, Propensity ML modeling etc.

In my last express entry profile, I had used 2161 – Mathematicians, statisticians and actuaries but PNP nomination is not given for this NOC code.

So, my question is will I be eligible for NOC code: (a) 2173 – Software engineers and designers or (b) 2174 – Computer programmers and interactive media developers? Which NOC code is better suited? In my work experience letter, do I have to prove how my job is related to NOC code ?

2172 – Database analysts and data administrators is not fit for my work.

I DO NOT have Bachelors/Masters degree in Computer Science or Statistics. I have graduate degree in Materials Science with couple of Statistics courses and that helped me enter the Data Science field. Over the period of years, I have to do significant programming for implementing ML models in business problems.

I have looked at all the different topics in the forum but not able to find the right answer. Data Scientists can come from different backgrounds like Computer science, Mechanical/Civil/Materials Science engineer, other engineering background, Physicists etc. Any insight and help will be appreciated.

Thanks,
Dip

 

[gurubux]

Hi,

I am an experienced Data Scientist (>8 years) in US. Last year, I had applied for IRCC express entry with CRS score - 464 but it was not picked. Now, due to age my score has dropped to 454. I am planning to apply PNP nomination in Ontario or British Columbia. The PNP nomination is given to selected NOC codes.

My work requires computer science application of data structures, algorithms, object-oriented programming (Python), Mathematics, optimization and Machine Learning model development as we are building a customer mapping engine product which is an unsupervised ML recommendation engine, this product is a part of platform for the company. My other work experience deals with text analytics-NLP, Deep learning ML models, Forecasting, Propensity ML modeling etc.

In my last express entry profile, I had used 2161 – Mathematicians, statisticians and actuaries but PNP nomination is not given for this NOC code.

So, my question is will I be eligible for NOC code: (a) 2173 – Software engineers and designers or (b) 2174 – Computer programmers and interactive media developers? Which NOC code is better suited? In my work experience letter, do I have to prove how my job is related to NOC code ?

2172 – Database analysts and data administrators is not fit for my work.

I DO NOT have Bachelors/Masters degree in Computer Science or Statistics. I have graduate degree in Materials Science with couple of Statistics courses and that helped me enter the Data Science field. Over the period of years, I have to do significant programming for implementing ML models in business problems.

I have looked at all the different topics in the forum but not able to find the right answer. Data Scientists can come from different backgrounds like Computer science, Mechanical/Civil/Materials Science engineer, other engineering background, Physicists etc. Any insight and help will be appreciated.

Thanks,
Dip

Kindly let me know if you could figure out the NOC, My scenario is as such
Is 2172 or 2173 the right NOC? Data Analyst/Data Scientist/Machine Learning Developer

My job profile is to handle complete Machine learning pipeline from data cleaning, preprocessing, feature engineering, train machine learning models and predicting, also evaluating the models, deploying the model on production and more.
Tech stack involves Python coding and ML related libraries (numpy, pandas, Tensorflow and pytorch). Also cloud related technologies(AWS services (EC2, S3, RDS, ECS, Lambda)), Logging tools like Kibana and Grafana. Docker for deployment. Django, Flask, FastAPI etc Frameworks (RESTful APIs)

Kindly suggest.
Kindly suggest.