Segmentation of Data Scientists

Data Scientists from stats world - This cluster has PhDs from the 2000s and working in Vision, Analytics since 2K period. Conversations with them were useful to handcraft features for image processing problems. They know the algos, basic math involved, intuitive details and the limitations of techniques.

Data Scientists with domain expertise - Laterals upskilled with data science skills. Data science practitioner world. Ability to bridge domain and Data Science use cases. Their Strength lies in identifying data, building the pipeline. Envisioning the end to end use flow.

Rookies - These days MOOC, Coursera, Udemy, Online Sessions, data science has a lot of visibility and attention for Entry level career choice. A lot of entry-level folks getting deeper into building models, getting good at model building, feature engineering

Kaggle Experts - The goto guys on feature engineering, parameter tuning, experimenting models, applying ensemble techniques, build models from anonymized data with the best accuracy

My journey has been through Databases, BI, Analytics. I use database primarily to data analysis, the perspective of BI helps to understand the Data from the business context, domain knowledge helps to quickly extract key data and quickly build models. All this experience helps to find use cases, building features for data models, build the data model, and sell it to business. I am still getting better in *selling part*. I keep learning with my interactions from all the segments of Data Scientists

Updated - 2022 - Feb 21

Ref - Link


Happy Mastering DL!!!